ORCID Profile
0000-0002-1073-058X
Current Organisation
Toulouse Business School
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Publisher: IGI Global
Date: 29-07-2021
DOI: 10.4018/JGIM.20211101.OA30
Abstract: Traditionally measurements of service quality have followed the expectation-disconfirmation approach. Further, previous studies have shown that negative disconfirmation is more influential than positive disconfirmation. In this research, we hypothesized information systems(IS) service quality scales based on the dimensionality of the expectation-disconfirmation (ED) and desire-disconfirmation (DD) approach. Using the SERVQUAL+ instrument and data collected from 321 IS users, we developed ED and DD based IS service quality scales using contemporary methods, such as LISREL-based CFA. We have proposed and empirically validated the following two new IS service quality constructs: Service Adequacy (difference of expected service and perceived service) and Service Superiority (difference of desired service and perceived service). Our results indicate that both measures have shown better predictive power than earlier scales like SERVQUAL+ and the IS ZOT scales. We have outlined several implications of ED and DD scales to practice and research.
Publisher: Emerald
Date: 14-02-2023
DOI: 10.1108/IJOPM-01-2023-0006
Abstract: The metaverse development is in the early stages in most organizations and supply chains. There has been exponential growth in metaverse investments by leading tech and other types of companies and governments worldwide. This article aims to shed light on the topic by providing detailed insights for the operations and supply chain management (O& SCM) community concerning the potential, opportunities and challenges associated with the metaverse. The authors mapped 15 benefits and 15 challenges regarding metaverse in O& SCM-related fields from the literature, which in turn were empirically tested by a panel with 150 experts from more than 12 countries, from operations and supply chains and with experience in metaverse technologies. The authors found notable similarities and differences between metaverse adopters and non-adopters in the O& SCM. Accordingly, some benefits and challenges are expected before and after the implementation, but it's still relevant. In contrast, there are ones that change their importance after the implementation. First, this paper points out the need for an urgent call for action to develop high-quality research on the interplay between metaverse and O& SCM. Second, the metaverse will reshape several established business models by offering new products and services, consequently resulting in the remodeling of O& SCM. Third, our paper provides a call for action to engage the community of scholars and practitioners to consider the metaverse as one of the last frontiers of O& SCM in the digital age. This paper is one of the first that investigates the metaverse benefits, challenges and expectations in the O& SCM. Also, it provides robust directions by an empirical approach to the metaverse as a new and important research stream for O& SCM and related fields. The authors provide a prospective research agenda that scholars and practitioners could use as a roadmap to capture metaverse opportunities in O& SCM.
Publisher: IEEE
Date: 2007
Publisher: Inderscience Publishers
Date: 2006
Publisher: IGI Global
Date: 10-2019
Abstract: Using data collected from 193 ERP users collected through a web-based survey within an Australian state emergency service organization, we will develop and test a research model taking relevant constructs from TAM and others social factors such as subjective norm, top management involvement, user involvement along with perceived usefulness, perceived ease of use, and attitude into account. We will specifically apply the REBUS-PLS method to detect two distinctive groups of users. In fact, this analysis highlights different groups of users on these links: user involvement and attitude user involvement and perceived ease of use top management involvement and user involvement top management involvement and attitude top management involvement and perceived usefulness subjective norm and perceived usefulness.
Publisher: Elsevier BV
Date: 07-2015
Publisher: IEEE
Date: 2011
Publisher: IEEE
Date: 2011
Publisher: Elsevier BV
Date: 09-2023
Publisher: Elsevier BV
Date: 12-2023
Publisher: Emerald
Date: 29-06-2023
Publisher: Elsevier BV
Date: 08-2018
DOI: 10.1016/J.JENVMAN.2018.05.012
Abstract: Inspired by the natural-resource-based view (NRBV) theory, we attempt to shed light on a controversy which has been persistent over the last decade, concerning the relationship between corporate environmental performance (CEP) and corporate financial performance (CFP). Using the 'too-much-of-a-good-thing' (TMGT) concept, which suggests that "too much can be worse than too little," we link mixed results and consider the roles of advanced eco-learning and contingency factors in influencing the CEP-CFP relationship. Based on a s le composed of ISO 14001 certified companies in Indonesia, and analyzing the data using consistent Partial Least Squares (PLSc), we found that: the CEP-CFP relationship follows an inverted U-shape advanced eco-learning is a significant predictor of the CEP-CFP relationship, meaning that organizations able to develop higher eco-learning capability will be better able to identify the ideal boundaries of investment in environmental performance without reducing their financial performance and that contingency factors such as environmental strategy and firm size have a significant role in influencing the CEP-CFP relationship. The study's limitations, implications for practitioners and a future research agenda are also detailed.
Publisher: Springer Science and Business Media LLC
Date: 07-05-2009
Publisher: IGI Global
Date: 23-09-2022
DOI: 10.4018/978-1-6684-7552-2.CH030
Abstract: Financial inclusion is a vital development priority for countries worldwide. Mobile wallet (m-wallet) is considered as a disruptive payment method that will substitute the traditional physical wallet to achieve the so-called cashless society and enables financial inclusion. This study aims at developing and testing a research model that integrates a set of technology factors (perceived usefulness, perceived ease of use, fun to use, monetary value), external factors (peer influence and perceived status benefit), and cultural factors (humane orientation and societal collectivism) to assess the intention to adopt and use m-wallet, for financial inclusion, in a developing country. The proposed conceptual model is tested using data collected from 621 m-wallet users in Cameroon. The model explains 47.5% of the variance of the actual use of m-wallet and 32.90% of the variance of financial inclusion. Eight out of the 10 proposed hypotheses were supported. Finally, implications for research and practice are discussed.
Publisher: IGI Global
Date: 2022
DOI: 10.4018/978-1-6684-3706-3.CH044
Abstract: This chapter on e-participation in developing countries uses Cameroon as a case study to demonstrate the realities of practicing Web 2.0 and social media tools to drive collaborative initiatives between government agencies and citizens in developing countries. The case study was guided by the incentives for e-participation using social media technologies, the tools used by a government to drive such initiatives, the level of participation from citizens, and the challenges and risks faced in implementing these technologies. A study of Cameroon's National Social Insurance Fund (NSIF) confirmed the main incentives of e-participation initiatives in developing countries and the major challenges they face in implementing them.
Publisher: ACM
Date: 05-08-2014
Publisher: Edward Elgar Publishing
Date: 20-06-2023
Publisher: Informa UK Limited
Date: 04-03-2016
Publisher: IEEE
Date: 2011
Publisher: Emerald
Date: 03-02-2023
Publisher: Springer Science and Business Media LLC
Date: 08-11-2022
Publisher: Informa UK Limited
Date: 21-08-2015
Publisher: IEEE
Date: 11-2012
Publisher: Elsevier BV
Date: 11-2023
Publisher: Informa UK Limited
Date: 16-04-2022
Publisher: Elsevier BV
Date: 03-2022
Publisher: IGI Global
Date: 2021
DOI: 10.4018/978-1-7998-5351-0.CH097
Abstract: The literature concerning supply chain management (SCM) and blockchain integration is scarce, and organizations and decision makers still have a limited knowledge about blockchain solution diffusion in SCM. Under these circumstances, studies aimed to improving the understanding of the main blockchain diffusion factors are fundamental. This chapter is a contribution to bridging such gaps, as it aims to unlock the driving factors of blockchain diffusion in the SCM environment. Based on the emerging literature on blockchain, supply chain management, expectancy theory, and diffusion of innovations, a model was developed and validated, considering data from India's supply chain management professionals. The data was analyzed using partial least square structural equation modeling (PLS-SEM). The results indicated that IT deployment capability, compatibility, and trading partner pressure are factors that affect blockchain diffusion significantly. Also, the results bring essential managerial and theoretical implications regarding the blockchain diffusion in the SCM.
Publisher: Wiley
Date: 12-07-2023
Abstract: In today's disruptive world, firms and supply chains are facing massive disruptions, primarily owing to resource scarcity. We develop a model supported by the resilience and resource‐based theories to assess supply chain decision‐makers in the United States. We validate the model by employing partial least squares structural equation modeling and fuzzy set qualitative comparative analysis. We find that supply chain agility and flexibility can support supply chain resilience, which in turn sustains supply chain performance. Furthermore, we find a mediation effect of supply chain resilience in the relationship between agility and supply chain performance, as well as between flexibility and supply chain performance. Furthermore, the findings suggest that supply chain performance under severe disruptions can be achieved when supply chains are resilient based on the combination of agility and flexibility. Our study contributes to the supply chain resilience and resource‐based theory literature by identifying that resource configuration plays a decisive role in resilience and performance in severe disruptions due to resource scarcity. Our findings suggest that not all resilience‐related resources are necessary to build resilience and support performance. Therefore, when confronted by a disruptive crisis, managers, practitioners and policymakers should identify the best resource configurations to create resilience and support performance.
Publisher: Edward Elgar Publishing
Date: 20-06-2023
Publisher: Informa UK Limited
Date: 30-11-2022
Publisher: IGI Global
Date: 04-2014
Abstract: Despite the recent increase in the adoption and use of social media tools to support firm operations, very little empirical research focusing on small- and medium-sized enterprises (SMEs) has been conducted to-date. The aim of this study is to fill this knowledge gap by investigating SME adoption of social media tools. In particular, we assess the impact of organizational, manager and environmental characteristics on SME utilization of the Facebook Events Page. To test our proposed research model, we administered a survey to 453 SME managers. Results of a hierarchical logistic regression indicate that firm innovativeness, firm size, manager's age and industry sector all have a significant impact on social media adoption. Implications for research and practice are discussed.
Publisher: IEEE
Date: 06-2010
Publisher: Emerald
Date: 09-11-2010
DOI: 10.1108/14637151011092973
Abstract: The purpose of this paper is to briefly discuss some aspects of radio frequency identification (RFID) technology, potential applications, and challenges including scientific methods that will help to study the impacts of RFID implementation on businesses. As an introductory paper, this paper conducts a brief literature review, provides personal reflection on RFID technology, and consolidates expert opinions. This paper identifies a set of research topics that seem relevant for a large‐scale implementation of RFID systems. It brings up the importance of business impacts as a result of new RFID systems introduced to organizations. The paper is original in the sense that it combines literature review, personal reflections, and expert opinions to draw a set of research topics that contribute to both acceptance and large‐scale implementation of RFID systems.
Publisher: MDPI AG
Date: 2013
Publisher: Informa UK Limited
Date: 13-07-2022
Publisher: Springer Science and Business Media LLC
Date: 23-11-2012
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2010
Publisher: Elsevier BV
Date: 2015
Publisher: ACM
Date: 08-11-2010
Publisher: IGI Global
Date: 10-2020
Abstract: This article aims to identify differences in the impact of Self-connectivity and the variables of the technological acceptance model (TAM) on smartwatch adoption in developed countries. The countries involved in the data collection were the United States of America, the United Kingdom, Germany, and France. A s le of 1,197 respondents was used. The study identifies distinct adoption behaviours of smartwatch users in these countries and the moderating impacts of age and gender. The study's results confirm that perceived ease-of-use has no impact on attitude-toward-using the smartwatch and its findings emphasize the key role of perceived-connectivity and the moderating effect of culture on the adoption of innovative products.
Publisher: IEEE
Date: 2011
Publisher: IGI Global
Date: 17-06-2022
DOI: 10.4018/JGIM.294578
Abstract: Vaccination is nowadays the most used option to stem the covid-19 pandemic. The global impact of the pandemic has triggered an unprecedented frenzy for research axis related to COVID-19 vaccine. Since 2019, the volume of publications related to COVID-19 vaccines has swollen significantly. In this very dynamic context, it can be difficult to quickly access the state and orientations of the researches. Thus, the goal of this paper is to provide a quick, fast comprehensive science mapping of these researches through an information management bibliometric approach. We extracted 8 246 publications (up to July 08th 2021) related to COVID-19 and vaccination from a world-leading publisher-independent global citation database (Scopus). The Bibliometrix package was then used to perform a bibliometric review of all these documents. The most important connections between the main themes, publications, authors, institutions, countries, collaborations, and journals are being highlighted. Main implications for the Information System along with some future research directions are also presented.
Publisher: Springer Science and Business Media LLC
Date: 15-05-2023
Publisher: IEEE
Date: 2010
Publisher: Wageningen Academic Publishers
Date: 12-2005
Abstract: The main objective of this pilot study is to improve our understanding of the potential of RFID in the context of warehousing activities in one specific supply chain in the retail industry. Empirical data was gathered from four tightly inter-related firms from three layers of the supply chain. Results indicate that RFID appears to be a disruptive technology as it supports a new business model, entails major redesign of existing processes and fosters a higher level of electronic integration between supply chain members.
Publisher: Emerald
Date: 15-03-2023
DOI: 10.1108/BPMJ-06-2022-0303
Abstract: The purpose of this paper is to examine the factors that influence enterprise resource planning (ERP) effectiveness within the context of emergency service organizations. Drawing on information systems (IS) effectiveness, ERP implementation and job satisfaction literature, the authors posit that user involvement, top management involvement and training satisfaction are the antecedents to perceived job satisfaction, and perceived job satisfaction leads to ERP effectiveness in emergency service organizations. Survey methodology is used for collecting data for this research, and the PLS-SEM technique is used for analysis. Results indicate users will be more satisfied with their training if their inputs are taken into account during their training and the top management is actively involved during the training process. Further, if the users perceive that they are adequately trained, they will be more satisfied with their jobs in using ERP, which will also lead to more effective ERP usage in emergency service operations. The focus of this study is on a single emergency service organization and thus may not be generalizable to other sectors. The authors extend ERP research to the context of emergency service organizations and thus add to the literature on ERP and emergency services. They conceptualize perceived job satisfaction to integrate roles, teamwork, supervisor and their perception regarding their potential to grow in the organization. The managerial contribution of this research is to identify the motivational aspects and provide practical insights into the effective use of ERP systems for emergency service organizations. From a managerial perspective, the study provides a framework for both IS and emergency service providers/executives to understand and evaluate the factors that help them use ERP effectively in their firms. This study extends the knowledge of ERP systems. While most of the ERP research focuses on implementation, the authors’ focus is on the effective use of ERP in emergency service organizations. They focus on identifying key factors that are important to using ERP effectively, specifically in emergency service organizations.
Publisher: Emerald
Date: 05-07-2022
DOI: 10.1108/IJPDLM-05-2021-0192
Abstract: The purpose of this study is to present a large-scale real-world comparative study using pre-COVID lockdown data versus post-COVID lockdown data on predicting shipment times of therapeutic supplies in e-pharmacy supply chains and show that our proposed methodology is robust to lockdown effects. The researchers used organic data of over 5.9 million records of therapeutic shipments, with 2.87 million records collected pre-COVID lockdown and 3.03 million records collected post-COVID lockdown. The researchers built various Machine Learning (ML) classifier models on the two datasets, namely, Random Forest (RF), Extra Trees (XRT), Decision Tree (DT), Multi-Layer Perceptron (MLP), XGBoost (XGB), CatBoost (CB), Linear Stochastic Gradient Descent (SGD) and the Linear Naïve Bayes (NB). Then, the researchers stacked these base models and built meta models on top of them. Further, the researchers performed a detailed comparison of the performances of ML models on pre-COVID lockdown and post-COVID lockdown datasets. The proposed approach attains performance of 93.5% on real-world post-COVID lockdown data and 91.35% on real-world pre-COVID lockdown data. In contrast, the turn-around times (TAT) provided by therapeutic supply logistics providers are 62.91% accurate compared to reality in post-COVID lockdown times and 73.68% accurate compared to reality pre-COVID lockdown times. Hence, it is clear that while the TAT provided by logistics providers has deteriorated in the post-pandemic business climate, the proposed method is robust to handle pandemic lockdown effects on e-pharmacy supply chains. The implication of the study provides a novel ML-based framework for predicting the shipment times of therapeutics, diagnostics and vaccines, and it is robust to COVID-19 lockdown effects. E-pharmacy companies can readily adopt the proposed approach to enhance their supply chain management (SCM) capabilities and build resilience during COVID lockdown times. The present study is one of the first to perform a large-scale real-world comparative analysis on predicting therapeutic supply shipment times in the e-pharmacy supply chain with novel ML ensemble stacking, obtaining robust results in these COVID lockdown times.
Publisher: Informa UK Limited
Date: 04-12-2019
Publisher: Springer Science and Business Media LLC
Date: 16-06-2022
DOI: 10.1007/S10479-020-03685-7
Abstract: The coronavirus (COVID-19) outbreak shows that pandemics and epidemics can seriously wreak havoc on supply chains (SC) around the globe. Humanitarian logistics literature has extensively studied epidemic impacts however, there exists a research gap in understanding of pandemic impacts in commercial SCs. To progress in this direction, we present a systematic analysis of the impacts of epidemic outbreaks on SCs guided by a structured literature review that collated a unique set of publications. The literature review findings suggest that influenza was the most visible epidemic outbreak reported, and that optimization of resource allocation and distribution emerged as the most popular topic. The streamlining of the literature helps us to reveal several new research tensions and novel categorizations/classifications. Most centrally, we propose a framework for operations and supply chain management at the times of COVID-19 pandemic spanning six perspectives, i.e., adaptation, digitalization, preparedness, recovery, ripple effect, and sustainability. Utilizing the outcomes of our analysis, we tease out a series of open research questions that would not be observed otherwise. Our study also emphasizes the need and offers directions to advance the literature on the impacts of the epidemic outbreaks on SCs framing a research agenda for scholars and practitioners working on this emerging research stream.
Publisher: Emerald
Date: 12-10-2021
Publisher: Elsevier BV
Date: 2016
Publisher: IGI Global
Date: 2018
DOI: 10.4018/978-1-5225-5326-7.CH006
Abstract: This chapter on e-participation in developing countries uses Cameroon as a case study to demonstrate the realities of practicing Web 2.0 and social media tools to drive collaborative initiatives between government agencies and citizens in developing countries. The case study was guided by the incentives for e-participation using social media technologies, the tools used by a government to drive such initiatives, the level of participation from citizens, and the challenges and risks faced in implementing these technologies. A study of Cameroon's National Social Insurance Fund (NSIF) confirmed the main incentives of e-participation initiatives in developing countries and the major challenges they face in implementing them.
Publisher: Springer Science and Business Media LLC
Date: 16-03-2016
DOI: 10.1007/S12525-016-0219-0
Abstract: There has been an increasing emphasis on big data analytics (BDA) in e-commerce in recent years. However, it remains poorly-explored as a concept, which obstructs its theoretical and practical development. This position paper explores BDA in e-commerce by drawing on a systematic review of the literature. The paper presents an interpretive framework that explores the definitional aspects, distinctive characteristics, types, business value and challenges of BDA in the e-commerce landscape. The paper also triggers broader discussions regarding future research challenges and opportunities in theory and practice. Overall, the findings of the study synthesize erse BDA concepts (e.g., definition of big data, types, nature, business value and relevant theories) that provide deeper insights along the cross-cutting analytics applications in e-commerce.
Publisher: Springer International Publishing
Date: 2021
Publisher: IGI Global
Date: 08-06-2023
DOI: 10.4018/JGIM.324097
Abstract: This study examines the use of information and communications technology (ICT) in remote work practice during the COVID-19 pandemic by integrating task-technology fit theory and the post-acceptance model of IS continuance into a research framework. In addition, it operationalizes the technological characteristics of TTF (task-technology fit) with the technology acceptance model (TAM) and the diffusion of innovation (DOI) theory. The methodology to test the research model takes support from the partial least squares structural equation modeling (PLS-SEM) method using a s le of 320 employees. The results show that TAM significantly explains TTF. Furthermore, there is a positive impact of ICT use on in idual and organizational performance. User satisfaction has the most significant effect on in idual performance, organizational performance, and IS continuance intention. The authors provide some managerial implications for addressing the challenges of remote work related to ICT disruptions for the post-COVID-19 period.
Publisher: IGI Global
Date: 07-2017
Abstract: The requirements analysis is identified as the first step of a software project, a reality that is being neglected within Cameroonian companies. This study was carried out in the Centre Pasteur of Yaounde, Cameroon. It aims to compare the influence of both user participation (NPU) and requirements analysis (NABE) on the success of two software applications (custom one–core business vs. generic one–support activity). A survey using a structured questionnaire was administered to 73 users. The findings enabled us to identify NPU and NABE as salient factors for the use of the system. Indeed, NPU has a direct, positive impact on Use for core business software and an indirect impact for support software. Moreover, users are willing to use the system when involved. Further broad-based research would give a generalization of our findings in various contexts. Managers should rely on the importance of user involvement and the need for a well-conducted requirements analysis, for projects' success.
Publisher: Inderscience Publishers
Date: 2013
Publisher: Springer Science and Business Media LLC
Date: 16-06-2022
Publisher: IEEE
Date: 2015
Publisher: Emerald
Date: 12-05-2018
DOI: 10.1108/BPMJ-10-2019-0411
Abstract: The main purpose of our study is to analyze the influence of Artificial Intelligence (AI) on firm performance, notably by building on the business value of AI-based transformation projects. This study was conducted using a four-step sequential approach: (1) analysis of AI and AI concepts/technologies (2) in-depth exploration of case studies from a great number of industrial sectors (3) data collection from the databases (websites) of AI-based solution providers and (4) a review of AI literature to identify their impact on the performance of organizations while highlighting the business value of AI-enabled projects transformation within organizations. This study has called on the theory of IT capabilities to seize the influence of AI business value on firm performance (at the organizational and process levels). The research process (responding to the research question, making discussions, interpretations and comparisons, and formulating recommendations) was based on a review of 500 case studies from IBM, AWS, Cloudera, Nvidia, Conversica, Universal Robots websites, etc. Studying the influence of AI on the performance of organizations, and more specifically, of the business value of such organizations’ AI-enabled transformation projects, required us to make an archival data analysis following the three steps, namely the conceptual phase, the refinement and development phase, and the assessment phase. AI covers a wide range of technologies, including machine translation, chatbots and self-learning algorithms, all of which can allow in iduals to better understand their environment and act accordingly. Organizations have been adopting AI technological innovations with a view to adapting to or disrupting their ecosystem while developing and optimizing their strategic and competitive advantages. AI fully expresses its potential through its ability to optimize existing processes and improve automation, information and transformation effects, but also to detect, predict and interact with humans. Thus, the results of our study have highlighted such AI benefits in organizations, and more specifically, its ability to improve on performance at both the organizational (financial, marketing and administrative) and process levels. By building on these AI attributes, organizations can, therefore, enhance the business value of their transformed projects. The same results also showed that organizations achieve performance through AI capabilities only when they use their features/technologies to reconfigure their processes. AI obviously influences the way businesses are done today. Therefore, practitioners and researchers need to consider AI as a valuable support or even a pilot for a new business model. For the purpose of our study, we adopted a research framework geared toward a more inclusive and comprehensive approach so as to better account for the intangible benefits of AI within organizations. In terms of interest, this study nurtures a scientific interest, which aims at proposing a model for analyzing the influence of AI on the performance of organizations, and at the same time, filling the associated gap in the literature. As for the managerial interest, our study aims to provide managers with elements to be reconfigured or added in order to take advantage of the full benefits of AI, and therefore improve organizations’ performance, the profitability of their investments in AI transformation projects, and some competitive advantage. This study also allows managers to consider AI not as a single technology but as a set/combination of several different configurations of IT in the various company’s business areas because multiple key elements must be brought together to ensure the success of AI: data, talent mix, domain knowledge, key decisions, external partnerships and scalable infrastructure. This article analyses case studies on the reuse of secondary data from AI deployment reports in organizations. The transformation of projects based on the use of AI focuses mainly on business process innovations and indirectly on those occurring at the organizational level. Thus, 500 case studies are being examined to provide significant and tangible evidence about the business value of AI-based projects and the impact of AI on firm performance. More specifically, this article, through these case studies, exposes the influence of AI at both the organizational and process performance levels, while considering it not as a single technology but as a set/combination of the several different configurations of IT in various industries.
Publisher: Emerald
Date: 09-05-2008
DOI: 10.1108/09590550810873929
Abstract: The aim of this paper is to understand why a collaborative innovation, such as radio‐frequency identification (RFID) technology, engenders seemingly opposite buyer‐seller relationship reactions among members of a supply chain. The researchers carried out a three year exploratory multiple case study using the grounded theory approach through participant‐observation and collaborative action research. The research project culminated in a fully functional RFID proof of concept solution which involved multiple layers of a retail supply chain. The researchers chose the retail industry for the study because it provided the ideal conditions to answer the research question. The results highlight the role of supplier‐buyer relationships as both crucial antecedents that shape RFID infrastructure and the consequence of RFID implementation. Specifically, the impact on and of eight key dimensions was considered, namely communication and information sharing, cooperation, trust, commitment, relationship value, power imbalance and interdependence, adaptation, and conflict. The paper also positions open‐loop RFID projects as supply chain inter‐organizational systems and presents a model to analyze such initiatives. The choice of methodology has provided the insight necessary to answer the research question. Other researchers are encouraged to validate these findings through replication with other case studies or through quantitative data to reach analytical and statistical generalizability. The authors also encourage future research on this topic in other industries. As more supply chains move forward with collaborative RFID initiatives, it is important that these companies be aware of the strategic role of supplier‐buyer relationships as both crucial antecedents that shape RFID infrastructure and a consequence of RFID implementation.
Publisher: IEEE
Date: 2015
Publisher: Springer Science and Business Media LLC
Date: 30-06-2021
Publisher: Informa UK Limited
Date: 04-08-2023
Publisher: IGI Global
Date: 2015
DOI: 10.4018/978-1-4666-8614-4.CH035
Abstract: Despite the recent increase in the adoption and use of social media tools to support firm operations, very little empirical research focusing on small- and medium-sized enterprises (SMEs) has been conducted to-date. The aim of this study is to fill this knowledge gap by investigating SME adoption of social media tools. In particular, we assess the impact of organizational, manager and environmental characteristics on SME utilization of the Facebook Events Page. To test our proposed research model, we administered a survey to 453 SME managers. Results of a hierarchical logistic regression indicate that firm innovativeness, firm size, manager's age and industry sector all have a significant impact on social media adoption. Implications for research and practice are discussed.
Publisher: Emerald
Date: 17-10-2022
Publisher: Elsevier BV
Date: 10-2013
Publisher: Informa UK Limited
Date: 23-02-2021
Publisher: Springer Science and Business Media LLC
Date: 30-08-2015
Publisher: Springer Science and Business Media LLC
Date: 04-02-2022
Publisher: Elsevier BV
Date: 04-2008
Publisher: IEEE
Date: 10-1970
Publisher: Wiley
Date: 22-03-2021
DOI: 10.1002/MAR.21480
Abstract: Companies have repeatedly launched Artificial Intelligence (AI) products such as intelligent chatbots and robots with female names, voices, and bodies. Previous research posits that people intuitively favor female over male bots, mainly because female bots are judged as warmer and more likely to experience emotions. We present five online studies, including four preregistered, with a total s le of over 3,000 participants that go beyond this longstanding perception of femininity. Because warmth and experience (but not competence) are seen as fundamental qualities to be a full human but are lacking in machines, we argue that people prefer female bots because they are perceived as more human than male bots. Using implicit, subtle, and blatant scales of humanness, our results consistently show that women (Studies 1A and 1B), female bots (Studies 2 and 3), and female chatbots (Study 4) are perceived as more human than their male counterparts when compared with non‐human entities (animals and machines). Study 4 investigates explicitly the acceptance of gendered algorithms operated by AI chatbots in a health context. We found that the female chatbot is preferred over the male chatbot because it is perceived as more human and more likely to consider our unique needs. These results highlight the ethical quandary faced by AI designers and policymakers: Women are said to be transformed into objects in AI, but injecting women's humanity into AI objects makes these objects seem more human and acceptable.
Publisher: IGI Global
Date: 31-03-2022
DOI: 10.4018/IJTHI.299043
Abstract: Previous literature has suggested that age indirectly influences the intention to adopt an information technology, and notably a m-health application. However, few studies have investigated this link. Voluntarily proximity tracing applications (PTA) are the first mobile applications to be implemented nationwide for population health issues. Our paper investigates the effect of age on the antecedents (perceived ease of use and usefulness, trust, and privacy control) of the intention to adopt a PTA. Our model is tested on a representative s le of 1000 French citizens. All variables were measured using scales drawn from the extant literature and adapted to suit the context. Age was measured as a continuous variable. . We found that age directly influences privacy control, but it has no direct effect on trust nor on the perceived ease of use or the perceived usefulness of a PTA. The results show that age is not a direct determinant of the antecedents of behavioral intention except of privacy control.
Publisher: Springer International Publishing
Date: 2019
Publisher: IGI Global
Date: 05-2021
Abstract: To rev with new creative age characterized by ongoing digital transformation, more and more industries are capitalizing on digital innovation for their sustainable business growth. Drawing on a systematic literature review, thematic analysis, and using the theories of dynamic capabilities and market orientation, this research scrutinizes a systematic process for developing analytics-based data-driven innovation (DDI). Findings suggest a standardized seven-step process for DDI, including product conceptualization, data acquisition, data refinement, data storage and retrieval, distribution, presentation, and market feedback.
Publisher: Emerald
Date: 03-02-2012
DOI: 10.1108/14637151211215019
Abstract: Despite the high operational and strategic potentials of radio frequency identification (RFID) technology, very few studies have been conducted about its role as enabler of supply chain integration to achieve high‐level operational efficiency. The purpose of this paper, therefore, is to be an initial effort towards bridging the existing knowledge gap in the literature. This exploratory research was conducted in one retail supply chain. A multi‐method approach combining a longitudinal real‐life case study and a methodology integrating several steps, including a “living laboratory” strategy was used and involved all members of a product line to analyze their contributing activities and their interface with other supply chain members the aim being to explore the impact of RFID technology on inter‐and intra‐organizational processes and information systems. The results provide support to the role of RFID as enabler of better integration of timeliness and accuracy data flows into information systems, business process optimization through automation, better system‐to‐system communication and better inter‐and‐intra‐organizational business process integration. Furthermore, they also validate the unique characteristics of RFID technology such as enabler of real‐time multiple tags items data collection and exchange within the supply chain and the read‐and‐write capability that may help, for ex le, to reuse some RFID tags within the supply chain and therefore reduce the cost related to the purchase of the said RFID tags. Finally, the study also reveals the importance of business process renovation and complementary investments during the adoption of RFID technology, in order to achieve high level of business value from the technology. The paper is original in the sense that it provides some empirical support for the enabling role of RFID technology in allowing supply chain integration.
Publisher: IEEE
Date: 2013
Publisher: Springer Science and Business Media LLC
Date: 23-11-2012
DOI: 10.1007/S10916-011-9807-X
Abstract: In this paper, a comprehensive review of articles published between 1997 and 2011 in the Journal of Medical Systems (JMS) on RFID technology is presented. A total of 22 papers are analyzed using a classification framework that has three dimensions: RFID-enabled healthcare applications, RFID-enabled healthcare issues, and RFID-enabled healthcare benefits. In addition, an invitation sent to all authors of the papers accepted for the special issue on RFID for the JMS allows them to position their various papers within the classification framework. Finally, a list of future research directions is presented.
Publisher: Emerald
Date: 02-2013
DOI: 10.1108/14637151311294895
Abstract: This paper aims to assess the business value realised from radio frequency identification (RFID)‐enabled healthcare transformation projects as compared with other industries. The paper starts with a review of RFID technology in the healthcare industry and further extends to an in‐depth analysis of mini‐case studies collected from RFID Journal , a leading professional journal dedicated to RFID technology, in order to identify the major benefits of the implementation of RFID systems as well as its business value achieved. In addition, there is further analysis that is being carried out on other industries to have an overview of the benefits of RFID implementation. Key findings on RFID systems are being obtained from a thorough review of case studies collected from the RFID Journal' s database – which for this purpose, provided 20 cases from the healthcare industry and 49 cases from other industries – so as to assess the business value of RFID‐enabled healthcare transformation projects. Implementation of RFID systems in healthcare resulted in enhanced automational, informational and transformational effects that helped to eliminate paper‐based processes, manual processes and low visibility of patients, staff, equipments and data, etc. Such a transformation definitely gave rise to high financial performances, patient satisfaction and better decision quality on their treatments, which in turn provided a high control, co‐ordination and planning of the healthcare organisation. Further, the results showcase the business value of RFID technology and the benefits gained within the healthcare sector, in comparison with other industries. Overall, this case analysis has indicated that implementation of RFID clearly produced evident effects at the process level of an organisation, thus leading to substantial gains at the organisational level. This paper delivers a review of case studies on RFID‐enabled transformation projects and process innovations, mainly in the healthcare industry, albeit it extends to other industries. For this reason, a review on RFID technology is being discussed while 69 cases are being scrutinised. The results from this paper therefore provide significant evidence of RFID‐enabled healthcare and organisational business value.
Publisher: IEEE
Date: 2006
Publisher: IGI Global
Date: 23-08-2021
DOI: 10.4018/JGIM.20211101.OA10
Abstract: Self-tracking (ST) technologies offer an unlimited number of opportunities to improve human life, especially health and well-being. Many scholars have been interested in this technology because of its worldwide spread but have not emphasized the benefits versus ST practices risks. This paper presents a literature review of the benefits and risks of ST practices to close this gap. It also develops a multidisciplinary research model based on the extended valence framework. This model offers five hypotheses highlighting the importance of considering technological, social, and health factors when measuring ST adoption. The results show that the perceived benefits outweigh the risks. Health is paramount in the perception of benefits. These results lead us to make a few recommendations for practitioners.
Publisher: ACM Press
Date: 2006
Publisher: IEEE
Date: 2011
Publisher: ACM Press
Date: 2006
Publisher: Springer Science and Business Media LLC
Date: 06-10-2022
Publisher: Springer International Publishing
Date: 2020
Publisher: Springer International Publishing
Date: 2015
Publisher: IGI Global
Date: 04-2010
Abstract: In this paper, the authors the inventory control practices of a small-to-medium retailer to identify common challenges this type of organization experiences with respect to automated data capture (ADC) and the implementation of an enterprise wide information system. The study explores a single case of a hardware store in a regional town in New South Wales, Australia. Four semi-structured interviews were conducted with employees, focusing on issues related to inventory control including delivery discrepancies, checking and sorting of orders, locating stock and goods, loss prevention, customer purchasing and point of sale processing and replenishment. Flowcharts illustrate the current processes of the retailer with an understanding of how ADC technologies like bar code and radio-frequency identification (RFID) impact the retailer. The findings promote an evolutionary approach toward the use of automated data capture technology by adopting barcode technology and subsequently introducing the complementary RFID technology.
Publisher: IEEE
Date: 2013
Publisher: Emerald
Date: 03-02-2022
DOI: 10.1108/IMDS-09-2021-0555
Abstract: The objective of this study is to present a binary-valued data envelopment analysis (DEA) theory. The authors’ proposed approach, for the first time, combines binary-valued and integer-valued theories concurrently in the DEA context. To do so, new production possibility sets (PPSs) with some distinguished features are developed. The authors address integer inputs and outputs in the proposed approach by introducing a new PPS. To take into account the binary data, the authors develop axiomatic DEA principles. The binary production principles guarantee any combination of convexity and feasibility. Furthermore, the authors develop a new DEA model to consider integer and real data. A case study is presented to show the usefulness of the developed models. Using the proposed models, the authors obtained benchmarks to solve the sustainable supplier selection problems. (1) For the first time, binary-valued and integer-valued theories are presented in an integrated DEA model. (2) To deal with the pure binary data, a new PPS is proposed. (3) To consider real, integer and binary data, a new PPS is introduced. (4) New technologies are developed to propose feasible solutions. (5) The proposed models can project inefficient decision-making units (DMUs) on efficiency frontier given binary, integer and real data. (6) A case study is given for the performance evaluation of sustainable suppliers.
Publisher: Springer Berlin Heidelberg
Date: 2009
Publisher: Emerald
Date: 26-05-2022
DOI: 10.1108/IMDS-09-2021-0558
Abstract: The COVID-19 pandemic has brought about significant changes to the lives of many people. One of which is the accelerated digitalization in the commerce sector. Hence, this study looks to determine the antecedents that affect users' mobile shopping actual use during a pandemic. The research model was founded on the integration of the Protection Motivation Theory and Transactional Theory of Stress. This is in addition to further extending the integrated research model with other constructs to develop a multi-dimensional framework that accounted for the health, personal, technological and social dimensions. The data was collected from users of mobile shopping through an online survey which was then analyzed via Partial Least Squares–Structural Equation Modeling. This study provides empirical support to establish the major role of COVID-19 pandemic in affecting the actual usage of mobile shopping. Furthermore, the determinants of actual usage of mobile shopping were found to be multi-dimensional. In particular, the Importance-Performance Map Analysis revealed that emphasis should be place on perceived vulnerability. As other studies focused on users' intentions, this study looked into the factors that influence the actual usage of mobile shopping. Furthermore, this study emphasizes on the contextualization of time and situation in addition to a multi-dimensional approach toward the subject matter. Overall, this study offers practical insights to stakeholders to better tailor their mobile shopping services in times of a pandemic and advances the literature on actual usage of mobile shopping.
Publisher: IGI Global
Date: 07-2021
DOI: 10.4018/JGIM.20210701.OA9
Abstract: Financial inclusion is a vital development priority for countries worldwide. Mobile wallet (m-wallet) is considered as a disruptive payment method that will substitute the traditional physical wallet to achieve the so-called cashless society and enables financial inclusion. This study aims at developing and testing a research model that integrates a set of technology factors (perceived usefulness, perceived ease of use, fun to use, monetary value), external factors (peer influence and perceived status benefit), and cultural factors (humane orientation and societal collectivism) to assess the intention to adopt and use m-wallet, for financial inclusion, in a developing country. The proposed conceptual model is tested using data collected from 621 m-wallet users in Cameroon. The model explains 47.5% of the variance of the actual use of m-wallet and 32.90% of the variance of financial inclusion. Eight out of the 10 proposed hypotheses were supported. Finally, implications for research and practice are discussed.
Publisher: Emerald
Date: 16-08-2022
DOI: 10.1108/IMDS-01-2022-0029
Abstract: The coronavirus disease 2019 (COVID-19) pandemic altered business and personal activities globally especially stimulating contactless financial transactions. However, despite the similar national lockdowns in cash-based economies, the adoption of contactless transactions through the widely available mechanism, mobile wallets, remained low. This research aimed to identify the factors surrounding this peculiarity. The study was investigated using a composite model based on the diffusion of innovation theory (DIT), technology acceptance model (TAM) and information systems success model (ISSM). Data were collected from 621 Cameroonian mobile wallet users and analyzed using partial least squares structural equation (PLS-SEM) modeling. The key findings revealed that the usage of mobile wallets, in the current form, were not affected by the perceived ease of use and did not match the existing lifestyle of users in Cameroon (no compatibility). The branding of mobile wallets (image) which was based on global messaging did not appeal to Cameroonians in fact, the branding gave mobile wallets a negative image. These key findings reveal the dangers of assuming that global strategies which have been effective in dealing with the pandemic will be effective in low-income or cash-based economies. The findings suggest that considering essential contextual dispositions is critical.
Publisher: Informa UK Limited
Date: 13-08-2021
Publisher: Springer International Publishing
Date: 2022
Publisher: Springer International Publishing
Date: 2020
Publisher: IGI Global
Date: 05-2021
DOI: 10.4018/JGIM.20210701.OA1
Abstract: The global wine-making industry has faced challenges due to the increasing demands of consumers, particularly in emerging markets such as China, Brazil, India, and Russia. Controlling the quality during wine production is one of the key challenges faced by global winemakers to produce wine with appropriate sensorial properties tailored to specific markets. The wine production quality is constituted from a number of environmental factors such as climate, soil, and temperature, which affect the sensorial properties and the overall quality. This paper proposed a rule-based quality analytics system (RBQAS) to capture physicochemical data during wine production and to investigate the hidden patterns from the data for quality prediction. It consists of IoT for data capture on a real-time basis, followed by association rule mining to identify relationships between sensorial and physicochemical properties of wine.
No related grants have been discovered for Samuel Fosso Wamba.