ORCID Profile
0000-0002-6912-8892
Current Organisations
Curtin University
,
James Cook University
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Publisher: Emerald
Date: 03-2023
DOI: 10.1108/APJML-05-2022-0407
Abstract: Grounded in dynamic capability view , this research develops a decision support model, which enables determining consistent and sufficient configurations of resilience strategies to mitigate vaccine operations and distributions (O& D) challenges and thus improve O& D performance (i.e. O& DP). Through qualitative in-depth interviews, the authors first identified challenges and resilience strategies related to vaccine O& D. Next, using the quality function deployment technique, three quantitative case studies were performed to determine the most important challenges and resilience strategies. Finally, utilising fuzzy set qualitative comparative analysis, the authors determine sufficient conditions of challenges and strategies leading to improve vaccine O& DP. The findings reveal that strategies alone are not effective instead a combination of strategies and nullification of challenges is needed to enhance vaccine O& DP. Further, the findings revealed that not only the presence of challenges, but also the lack of strategies reduces the vaccine O& DP. The authors' findings will assist the health service decision-makers for strategizing an effective and efficient vaccination program by selecting the right combination of challenges and resilience strategies. The authors' study develops a novel decision support model and offers significant learning for the future vaccine O& DP.
Publisher: Emerald
Date: 18-04-2022
DOI: 10.1108/JFBM-01-2022-0011
Abstract: The main objective of this study is to examine the impact of the COVID-19 pandemic on earnings management practices in China using a s le of family and non-family enterprises. More specifically, this study aims to examine whether the COVID-19 pandemic causes variation in Chinese listed family and non-family enterprises' operations, as reflected in the level of real earnings management (REM). This study uses three standardised REM indicators, namely, the abnormal level of cash flows from operations, the abnormal level of production costs and the abnormal level of discretionary expenses. Ordinary least squares (OLS) regressions are applied to compare the earnings management of Chinese family and non-family enterprises during the pre-pandemic period (2017–2019) and the pandemic period (2020). The authors find that Chinese listed non-family enterprises tend to participate in more REM activities than family enterprises before the COVID-19 outbreak. However, the opposite is true during the pandemic. The authors also find that COVID-19 has increased the involvement of family and non-family enterprises in REM activities. The results of previous studies based on REM using Chinese listed firms may not be applicable under the new social background of COVID-19. As the period after the COVID-19 outbreak is relatively recent, Chinese researchers have yet to study it comprehensively. The present study is amongst the first empirical attempts investigating the effect of a pandemic financial reporting by investigating whether and how the burst of the COVID-19 crisis affected financial reporting through the earnings management practices of listed Chinese family and non-family enterprises. Such information is crucial because it can provide analysis for all stakeholders to make better decisions.
Publisher: Springer Science and Business Media LLC
Date: 22-04-2021
Publisher: Emerald
Date: 27-10-2020
DOI: 10.1108/IJSSP-07-2020-0315
Abstract: In urban streets of developing countries, informal e-rickshaw operation can contribute to the development of economically viable, citizen-oriented and environmentally friendly transport systems. Even though informal e-rickshaw operation is important, significant gaps are apparent in the literature in relation to e-rickshaw sustainability issues and policies, and the development of a methodology grounded in a robust theoretical base. The current paper aims to address these gaps by integrating stakeholder theory (ST) and resource dependency theory (RDT) as we consider the linkage between e-rickshaw operation and the sustainability concept. We apply fuzzy quality function deployment (QFD), integrated with the 0–1 non-linear optimisation technique, to identify optimal policies for the e-rickshaw informal sector on Khulna city's urban streets in Bangladesh. The results suggest that optimal policies should be formalised to regularise e-rickshaw operation. Appropriate supervision and monitoring infrastructural support for battery charging, parking, battery recycling and solar panel installation and training and development should all be provided. The theoretical and managerial implications of our results are discussed, with future research suggestions presented. To the best of our knowledge, no previous study has used ST and RDT in e-rickshaw sector research. We recognised that the stakeholder settings for sustainability policies can well influence the behaviour of informal e-rickshaw operators while allotting the necessary resources to this sector. This move assists researchers and policymakers to understand the stakeholders and resource dependency sustainability requirements of this sector and the implementation of the required policies.
Publisher: Emerald
Date: 27-12-2022
DOI: 10.1108/IJPDLM-03-2022-0094
Abstract: Fake news on social media about COVID-19 pandemic and its associated issues (e.g. lockdown) caused public panic that lead to supply chain (SC) disruptions, which eventually affect firm performance. The purpose of this study is to understand how social media fake news effects firm performance, and how to mitigate such effects. Grounded on dynamic capability view (DCV), this study suggests that social media fake news effects firm performance via SC disruption (SCD) and SC resilience (SCR). Moreover, the relation between SCD and SCR is contingent upon SC learning (SCL) – a moderated mediation effect. To validate this complex model, the authors suggest effectiveness of using partial least squares structural equation modeling (PLS-SEM). Using an online survey, the results support the authors’ hypotheses. The results suggest that social media fake news does not affect firm performance directly. However, the authors’ serial mediation test confirms that SCD and SCR sequentially mediate the relationship between social media fake news and firm performance. In addition, a moderated serial mediation test confirms that a higher level of SCL strengthens the SCD–SCR relationship. This work offers a new theoretical and managerial perspective to understand the effect of fake news on firm performance, in the context of crises, e.g. COVID-19. In addition, this study offers the advancement of PLS as more robust for real-world applications and more advantageous when models are complex. Prior studies in the SC and marketing domain suggest different effects of social media fake news on consumer behavior (e.g. panic buying) and SCD, respectively. This current study is a unique effort that investigates the ultimate effect of fake news on firm performance with complex causal relationships via SCD, SCR and SCL.
Publisher: Emerald
Date: 10-01-2023
DOI: 10.1108/IJEM-02-2022-0066
Abstract: Critically, to improve and manage online learning quality (OLQUAL), higher education providers need to regularly measure OLQUAL. Hence, a reliable measure of OLQUAL in higher education from the students' perspective is indispensable. Further, as a pioneer in examining OLQUAL outcomes in the online education context, we assert that satisfaction, trust and loyalty is a global assessment that follows the evaluation of OLQUAL. A model that delineates the perceived OLQUAL and its relationship with satisfaction, trust and loyalty are currently absent. Grounded on the cognition–affective–conation framework – this study presents the indicators of perceived OLQUAL and its influence on students' satisfaction and trust which further influences their loyalty. To measure the OLQUAL instrument and proposed relationships – data were collected from 232 online undergraduate and postgraduate students. The results of confirmatory factor analysis measure five dimensions of perceived OLQUAL – comprising system quality, administrative quality, educational quality, transformative quality and social quality. Further, the proposed relationships were tested using structural equation modelling. This study has successfully measured a second-order OLQUAL model on five primary quality dimensions (i.e. systems, administrative, educational, transformative and social). The findings confirm that students' satisfaction alone does not play a mediating role rather, satisfaction and trust play a sequential mediating role between OLQUAL and loyalty. Our new model provides a new tool for institutions and researchers to evaluate the quality of online education programs, as well as identify their strategy in developing and providing high-quality online learning to students.
Publisher: MDPI AG
Date: 26-12-2019
DOI: 10.3390/SU12010221
Abstract: Global green trends are creating new challenges and opportunities for entrepreneurs worldwide with customers now more environmentally aware and willing to pay extra for green services and products. In considering this phenomenon, the current study focuses on the positive influence of enviropreneurial orientation on the business performance of small firms and explores the mediation effects of green marketing mix and eco-labeling strategies. Drawing upon the natural resource-based view (NRBV) and the dynamic capability view (DCV), we tested our multiple mediation model with a s le of owners/managers of 160 small firms from Bangladesh, with these firms coming from the sectors of trading, manufacturing, and services. To test the study’s hypotheses, we employed the variance-based structural equation modeling (SEM) method, using the partial least squares (PLS) technique. The results reveal that green marketing mix and eco-labeling strategies transmit the effect of enviropreneurial orientation to business performance of small firms. Both strategies are found to be mediators in the relationship between enviropreneurial orientation and business performance of small firms. The study also offers suggestions for future research.
Publisher: Emerald
Date: 31-01-2022
DOI: 10.1108/JMTM-04-2021-0150
Abstract: This study investigates supply chain management (SCM) practices in a specific fast fashion apparel (FFA) industry. The impacts of SCM practices on competitive advantage (CA) are investigated via mediating roles of supply chain agility (SCA) and partnership quality (PQ). Resource advantage (R-A) theory, in addition to resource-based view (RBV) and dynamic capability theories, is used as theoretical underpinning. A mixed-method approach is adopted: a qualitative field study and survey research. Data from 296 apparel manufacturers in Bangladesh are analyzed using the partial least squares structural equation modeling (PLS-SEM) approach, involving reflective and formative, first- and second-order constructs and mediation tests using the Hayes PROCESS macro. Both SCM practices and PQ significantly affect SCA. SCM practices are found to directly enhance CA, but, counterintuitively, only marginally. Only through mediations of SCA and PQ do SCM practices enhance CA significantly. This is a departure from past research that has postulated direct effects between SCM practices and CA. This research is confined to the FFA industry and one national setting, Bangladesh. The data analyzed is also cross-sectional, with customary limitations on the temporal dimension. SCM practices contribute to CA, but only through the mediation of PQ and SCA. This is an important directive to practitioners. Also, the second-order reflective measures for each construct indicate the specific SCM practices needed to maximize CA. This study contributes to the literature on SCM practices in FFA industry, specifically the mediating roles of PQ and SCA, resulting in new, more nuanced findings that are important in dynamic business settings, driven by new theoretical perspectives incorporating R-A theory, which has hardly been utilized before in SCM research.
Publisher: Emerald
Date: 12-10-2022
Abstract: Society's concerns about environmental degradation have tightened competitive pressure and brought new challenges to small firms. Against this backdrop, this study develops a decision model to determine a suitable configuration for entrepreneurial orientation to help small firms manage circular economy challenges and improve their performance. This study used a multi-study and multi-method approach. Study 1, through qualitative in-depth interviews, identified a portfolio of circular economy challenges and entrepreneurial-orientation components. Study 2 applied the quality function deployment technique to determine the most important components of entrepreneurial orientation. Study 3 adopted a fuzzy set qualitative comparative analysis to determine the best configuration for challenges and components. The findings reveal a set of challenges and identify the salient need to combine the negation of these challenges with the components of entrepreneurial orientation this combination will improve the performance of small firms. The research extends the current knowledge of managing circular economy challenges and offers decision-makers insights into improving their resilience. The use of the dynamic capability view, together with the multi-study and multi-method approach, may lead to an appropriate reconfiguration of entrepreneurial orientation, which, to date, has received limited empirical attention in the small-business-management discipline.
Publisher: Emerald
Date: 13-12-2022
DOI: 10.1108/APJML-03-2021-0155
Abstract: Sharing economy-based service platforms are a relatively new way of delivering services that have received increasing attention from both practitioners and researchers. However, current research in the area is still developing in terms of offering practical insight in conjunction with a decision model that may help to determine optimal strategies for efficient service design in the sharing economy from a service triad perspective. Exploring this gap in the literature, this paper aims to develop and apply a decision model that enables managers to identify and prioritise the efficiency attributes of sharing economy-based services. It also aids in designing optimal strategies to enhance efficiency over time based on the insights obtained from users (buyers and sellers) and platform providers. This study adopts a mixed-methods approach. The qualitative approach comprised an extensive literature review followed by in-depth interviews, and the quantitative approach adopted the quality function deployment (QFD) integrated optimisation technique to design and prioritise the most optimal strategy emanating from the application of a decision model. The findings revealed that establishing global distribution, continued technological research and development (R& D) and enhancing the transactional platform are the most important strategies in the context of sharing economy platform providers (e.g. accommodation-based-platform service providers). This study also revealed that as the importance weights of the efficiency attributes changed over time, so too did the portfolio of strategies used to attain an optimal efficiency level. The decision model brings a richer conceptual understanding of the dynamic changes over time that occur in the business ecosystem. It also allows managers of sharing economy-based platforms to select optimal strategies and make astute decisions towards achieving efficient service design.
Publisher: Emerald
Date: 06-03-2020
DOI: 10.1108/IJSSP-07-2019-0138
Abstract: This study first examines whether the capital structure served as a mediator between financing mix and firm performance. Furthermore, the authors investigate whether this mediation effect was moderated by the financial environment. Grounded in the pecking order theory (POT) and dynamic capability view (DCV), this study extends these concepts by configuring all links to a moderated mediation model. The study uses the structural equation modelling (SEM) approach and multiple regression analysis using “Hayes PROCESS macro” to empirically examine the model using data collected from 384 informal micro-firms operating in Bangladesh. In the mediation analyses, results found that capital structure was a mediator in the link between financing mix and firm performance. In further moderated mediation analyses, outcomes confirmed that this mediation effect was moderated by the financial environment. This investigation shows paths for future research including implications for theory advancement and intervention development. This investigation offers the first step towards examining a moderated mediation effect, using POT and DCV, of the relationship between financial environment, financing mix, capital structure and firm performance.
Publisher: Virtus Interpress
Date: 2016
DOI: 10.22495/COCV13I2P9
Abstract: The sustainability concept is commonly used in many domains. However, the assessment of reflective and formative measurement has been ignored largely. As a result, sustainability factor scales are specified wrongly and this might lead to reduced scale validity. The aim of the study is find out the nature of sustainability factors either reflective or formative by investigating three distinct industrial settings in Bangladesh. A quantitative research design is used and the data is analysed through Partial Least Square (PLS) analysis. PLS analysis validates the indicators and factors. Sustainability factors in context of microbusiness and supply chain found reflective in nature whereas in e-business it was formative. The study suggests that sustainability factor is a context specific phenomena and it can be treated either reflective or formative.
No related grants have been discovered for Eijaz Ahmed Khan.