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The purpose of this study is to explore the contributing barriers to corporate social and environmental responsibility (CSER) practices. In particular, this study focuses on non-managerial stakeholders’ perceptions of the barriers to CSER practices in a developing country context. The study also investigates the current initiatives undertaken by the different stakeholders, such as government, non-governmental organisations (NGOs) and regulators.

The study takes a qualitative approach, undertaking semi-structured in-depth interviews with 26 participants from NGOs, the media, regulatory authorities, government departments, shareholders, trade union leaders and customers.

The views of stakeholder groups were analysed to identify the contributing barriers to CSER practices. The findings of the study reveal that corruption and politics, lack of coordination, lack of government initiatives and unsatisfactory implementation of laws are perceived as the major barriers that hinder CSER practices in Bangladesh. The study also found a lack of awareness amongst various stakeholder groups regarding the influential role CSER plays in promoting sustainable development. The current initiatives undertaken by various stakeholders to improve CSER practices were limited but growing.

The study utilises the stakeholder theory to examine the role of stakeholders, rather than managers, in relation to CSER practice in Bangladesh. The findings may provide impetus for mitigating CSER barriers in a developing country context.

This study is one of the few engagement-based studies to explore the non-managerial stakeholders’ views on CSER in a developing country context.

A successful education system is a great asset for any society. However, what factors make an academic institution successful and how these factors interact with each other are not clear in literature. Therefore, the purpose of this paper is to develop and validate a model that explains success of private universities which entails clarification on theoretical understanding and explains the relationships among relevant variables.

Variables from information systems success models and marketing theories have been adapted in the context of private universities to theorize a conceptual model. In order to validate the model, this study employed quantitative approach. Survey data, collected from 326 respondents, were analysed using partial least squares algorithm.

The results suggest that: “curriculum quality”, “teaching competence”, “service facility”, and “service delivery” provided by a private university are positively related to “perceived value (PV)”, while students’ perceived satisfaction (SPS) is dependent on “service facility”; PV and SPS drive to students’ “intention for continued education (ICE)”, and ICE eventually improves quality of students’ lives. Additionally, PV and SPS are interrelated. The mediating roles of PV and SPS are also identified.

Empirical data analyses confirm that improving quality of life through continued education represents an insightful theoretical lens for investigating success in higher education. To become successful in education business, maintaining both academic quality and service quality are important for a private university because they lead to student satisfaction and the overall PV of education.

This study is the first initiative that develops and validates a success model of private universities. The findings provide some guidelines for top managers in higher education to maximize their abilities to understand customers’ expectations in both strategic and operational settings.

Mobile health, i.e. m-Health possesses huge potential, especially to the developing countries and remote locations of developed countries. The success of such systems may create a healthier society through eradicating health incidents, which cannot otherwise be addressed with “brick and mortar” type of health systems. The purpose of this paper is to develop an m-Health success model from users’ perspective and validate in a developing country context.

Epistemologically, positivist approach has been adopted for the current research. An initial research model was developed from existing information system (IS) literature, which was then validated with survey data applying partial least square structural equation modelling (PLS-SEM).

The results summarise that continuance intention (CI) of m-Health services is dependent on perceived value (PV) and user satisfaction (STF); PV positively influences STF. Moreover, platform quality, quality of medical advice, and interaction quality have positive and direct effect on PV and STF; finally, CI drives to better quality of health life.

The findings of this study provide strategic implications to health managers and practitioners recognising the determinants of m-Health success and comprehending their relationships. It is underscored that, in order to secure the success of an m-Health system in a given society both human and technology-related components are vital and therefore should be taken care of.

This is the first attempt that develops and validates an m-Health system success model, particularly from the context of a country with low-health profile. Moreover, the contextualisation of the related variables and extension of existing IS success models is theoretically original.

Grounded on the technology-organization-environment (TOE) framework, the purpose of this paper is to develop a two-stage model of radio frequency identification (RFID) adoption in livestock businesses. RFID adoption is divided into two stages, acceptance and extension. It is argued that RFID adoption in livestock businesses is influenced by technological (interoperability, technology readiness), organizational (readiness, market scope), and environmental (competitive market pressure, data inconsistency) factors.

From a qualitative field study, along with the support of existing literature, the authors developed a research model, which was then validated with survey data of 318 livestock businesses in Australia. Data analysis used partial least squares structural equation modeling.

Empirical results showed that interoperability, organizational readiness, and competitive market pressure, and data inconsistency significantly influence acceptance of RFID technology in livestock businesses. In addition, the extended use of RFID is determined mainly by interoperability, technology readiness, organizational market scope, and data inconsistency. The results suggested differential effect of data inconsistency– it had a negative influence on RFID acceptance but a positive impact on the extent of its use.

This is one of the first studies to examine RFID adoption as a two-stage process. The theoretical basis was based on TOE framework and the factors were developed from a field study. The results of this study will provide insights for different livestock industry including technologists, farm managers, and market players.

Despite the availability of several published reviews on the adoption of blockchain (BC) in supply chain (SC), at present, the literature lacks a comprehensive review incorporating the antecedents and consequences of BC adoption. Moreover, the complex adoption of BC in SC, explained with the mediating and moderating relationships, is not fully consolidated. Thus, the aim of this study was to conduct a systematic literature review (SLR) on BC technology adoption (BCTA) in SC by integrating its antecedents and consequences.

Keyword searches were performed in multiple databases resulting 382 articles for evaluation and verification. After careful screening with respect to the purpose of the study and systematic processing of the retrieved articles, a total of 211 peer-reviewed articles were included in this study for review.

Various technological, organisational, individual, social, environmental, operational and economic factors were found as the antecedents of BCTA in SC. In addition, numerous applications of BC Technology (BCT) were identified, including asset management, identity management, transaction management, data management and operations management. Finally, the consequences of BCTA were categorised as operational, risk management, economic and sustainability outcomes.

This study can assist relevant decision-makers in managing the factors influencing BCTA and the potential uses of the technology to enhance SC performance.

By integrating the antecedents, applications and consequences of BCTA in SC, including the mediators and moderators, an integrated framework was developed that can potentially assist researchers to develop theoretical models. Further, the results of this SLR provide future directions for studying BCTA in supply chain management (SCM).

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.

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.

A major transformation in retail logistics over the few years is backed by enormous improvements in internet technologies. It is now easy for e-retailers to entertain delivery progression, or consumers can share use-experience with future customers and thereby reducing information asymmetry. The purpose of this paper is to investigate the effect of different signals on consumer behavior in the presence of information asymmetry, in the context of online group buying (OGB) markets in China.

Based on the lemon market theory (LMT) and signaling theory, the study develops a research model of the OGB consumers’ context in China, which is validated using data from an online survey. A total of 528 responses are used for data analysis applying structural equation modeling technique.

The findings of the study show that perceived vendor quality (PVQ) and perceived product quality (PPQ) have significantly positive effects on intention to purchase from OGB websites. PVQ is associated with perceived reputation and perceived trustworthiness (PT) of vendor, and the determinants of PPQ are quality assurance information of products, and information about mer-chants. Further, PT has a mediating effect, while asymmetry of information has a moderating effect.

The research model is valid as a generic OGB model that can be investigated in other contexts to understand the generalizability of the findings. Future research is needed to incorporate additional relevant factors (e.g. price, advertising activity/investments) that may help increase the acceptability of the model to a wide range of e-commerce contexts. Two of the control variables (gender and prior internet experience) were found to be significant; this could be further examined in future studies to determine the relative impact on each causal relationship.

Whereas prior studies in the domain of consumer service proposed different signaling mechanisms that were believed to eliminate information asymmetry from a market, the study sheds light on the effectiveness of the signals in the OGB context. This is a unique effort that applies and extends LMT and signaling theory in OGB context by theorizing the associated dimensions and their causal effects.

Understanding the micro-start-up resources and its relationships with entrepreneurial orientation and performance is unique because it operates a business in a poor resource setting. However, poor resource settings of micro-start-up are not adequately examined into the literature in relation to entrepreneurial orientation and performance. Therefore, grounded on resource-based view, this paper aims to attempt to examine the relationships between resource capital, entrepreneurial orientation and performance in a developing country context.

To establish this, the authors conducted a survey among 180 micro-entrepreneurs from Bangladesh and analyzed the data using the partial least squares structural equation modeling (PLS-SEM) approach.

The results demonstrate the mediating role of entrepreneurial orientation on the relationship between human and financial resources and performance, while having partial mediating influence between social resource and performance, therefore indicating the importance of resources for determining business outcomes for micro-entrepreneurs.

These results extend theoretical explanations of micro-entrepreneurship within the poor resource setting context. The findings have implications for identifying micro-firms likely to succeed for the purpose of strategic allocation of resources and supports; they also provide future research avenues.

To the best of the authors’ knowledge, no previous study has established that entrepreneurial orientation plays a critical and mediating role between resource capital and micro-firm performance in a poor resource setting.

In the literature, a number of models have been developed that explain the adoption behavior of a technological innovation. Similarly, most research explaining the continuance behavior of an information system (IS) ignores the adoption processes. It is observed that researchers seem uninterested in explaining the extension of an IS. The purpose of this paper is to develop an integrated model that explains the adoption, continuance, and extension of a technological innovation – taking radio frequency identification (RFID) as the case.

Motivated by the exploratory nature of the current research, a qualitative field-study approach is adopted.

Technology-organization-environment (TOE) factors influence RFID adoption while continuance is dependent on confirmation from the initial adoption. Finally, the extension decision is influenced by the TOE factors, self-efficacy, and situational factors.

The research was conducted in eight livestock farms in Western Australia and hence the factors explored can be location specific. This is the first methodological initiative explaining the extension behavior of a technological innovation.

IS researchers may gain insight toward understanding the diffusion of innovation in the agricultural sector while agricultural agencies and farms can use the findings for their extension plan.

This study is a single initiative developing an integrated model that explains the adoption diffusion of a technological innovation.