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The decision regarding ethics and compliance management (ECM) adoption and its actual implementation is usually deliberated as an important corporate social responsibility (CSR) matter. Building on the strategic choice perspective, this study aims to investigate the forces and mechanisms underlying the link between ECM adoption and its substantial implementation.

The study is based on survey data of multi-national companies (MNCs) in Asia.

The authors find that firms adopt ECM initiatives due to the impact of critical field events coupled with institutional mimesis and the salience of risk reduction. Moreover, reinforced by top management support and ethics transgressions, firms are inclined to engage in sincere ECM implementation.

The study examines important antecedents of ECM adoption and implementation in market MNCs. In doing so, it contributes to the broader CSR literature.

This paper aims at developing an interpretive structural model of drivers for environmentally conscious manufacturing (ECM). It will demonstrate how interpretive structural modeling (ISM) supports policy makers in the government and industry in identifying and understanding interdependencies among drivers for ECM. Interdependencies among drivers will be derived and structured into a hierarchy to derive subsystems of interdependent elements with corresponding driving power and dependency.

ISM has been used to identify hierarchy and inter-relationships among drivers for ECM adoption and to classify the drivers according to their driving and dependence power using MICMAC analysis. The drivers for ECM adoption are identified through the review of literature followed by developing a model of drivers using ISM.

The main findings of the paper include the development of an ISM model of drivers for ECM adoption. The developed model divided the identified drivers into five levels of hierarchies showing their inter-relationship and depicting the driving-dependence relationship. These five levels have been classified into four categories – awareness, external, organizational and benefits.

The developed ISM model is expected to provide a direction to the policy makers in the government and industry and the top management of the organizations to leverage their resources in a timely manner to adopt ECM successfully.

The purpose of this paper is to provide a comprehensive literature review of enterprise content management (ECM) research, a conceptual framework of areas of concern regarding ECM, and an agenda for future ECM research, based on the review and conceptual framework.

To gain an understanding of the ECM literature, a structured research approach is adopted, consisting of two phases. The first phase consists of identifying the relevant ECM research papers. In the second phase, the analysis phase, the current ECM research is categorized based on three structural pillars: system component dimensions, system lifecycle, and strategic managerial aspects.

After a review and classification of 91 ECM publications, it is found that ECM involves several sophisticated and interacting technical, social, organizational, and business aspects. The current ECM literature can be grouped around three main pillars: the first pillar consists of the four ECM component dimensions (tools, strategy, process, and people). The second pillar is the enterprise system lifecycle (adoption, acquisition, evolution, and evaluation). The final pillar is the strategic managerial aspect (change management, and management commitment). Based on the review and a proposed conceptual framework, an agenda for future research around the aforementioned three pillars is suggested.

There is a lack of ECM meta‐analysis research that explains the current state of the field. This paper contributes to information systems research by describing and classifying the published literature in ECM and by pointing out the gaps where further research is most needed. Furthermore, the paper provides a framework that may provide a conceptual structure for future studies.

The purpose of this paper is to identify organizational challenges that drive enterprise content management (ECM) adoption from a process point of view.

The presented results are grounded in both the academic literature on ECM and qualitative data from two case studies.

The study identifies and discusses 21 contemporary business challenges that drive ECM adoption along the content lifecycle (e.g. regarding the creation, storage, and retrieval of content).

As the scopes of both the literature review and the case studies were limited, the presented account of ECM drivers is not considered exhaustive. The paper can, nevertheless, help researchers to further theorize about ECM adoption and investigate the role that content plays in business process management.

Practitioners are provided with empirically grounded knowledge on the drivers behind ECM adoption. They can, for example, use the results to justify and evaluate ECM investments, or determine the scopes and objectives of their ECM initiatives.

This study is important because the understanding is still vague as to what organizations strive to gain through implementing ECM and what results they can expect from the same.

The purpose of this paper is to develop hierarchy and inter-relationship among barriers to environmentally conscious manufacturing (ECM) adoption using an interpretive structural modeling (ISM) technique. The paper will demonstrate how ISM supports policy makers in the government and industry in identifying and understanding interdependencies among barriers to ECM. Interdependencies among barriers will be derived and structured into a hierarchy in order to derive subsystems of interdependent elements with corresponding driving power and dependency.

ISM was used to identify hierarchy and inter-relationships among barriers to ECM adoption and to classify the barriers according to their driving and dependence power using MICMAC analysis. The barriers to ECM adoption are identified through the review of literature followed by developing a model of barriers using ISM based on the inputs from experts from industry and academia.

The main findings of the paper include the development of hierarchy and inter-relationship and ISM model of barriers to ECM adoption. The developed model divided the identified barriers into five levels of hierarchies showing their inter-relationship depicting the driving-dependence relationship. These five levels have been classified into three categories – internal barriers, economy barriers, and policy barriers category.

The developed ISM model is expected to provide a direction to the policy makers in the government and industry and the top management of the organizations to leverage their resources in timely manner to adopt ECM successfully.

Shifting to mobile-based banking transactions from physical banking transactions can be considered as a social distancing mechanism, which helps to prevent the spread of Covid-19 virus. As the spread of Covid-19 is expected to continue for long, the continued usage of mobile-based payment services as a strategy to maintain social distancing has to prevail. Hence, this study aims to propose an integrated framework of mobile payments adoption and its continuance intention by integrating health belief model (HBM) and expectation confirmation model (ECM) of information system continuance.

The subject of the study constitutes new adopters of mobile payments. A total of 654 respondents participated in the survey. The conceptual model was empirically validated using structural equation modeling and serial mediation analysis.

The study found that the HBM constructs, namely, perceived severity, perceived susceptibility and self-efficacy significantly influenced adoption/confirmation of mobile-based payment services. The continuance intention was significantly predicted by perceived usefulness and perceived satisfaction. Furthermore, the perceived health threat (comprising perceived severity and perceived susceptibility) indirectly affects continuance intention through confirmation, perceived usefulness and satisfaction.

There are short-term and long-term implications for the study. Short-term implications include triggering the HBM at policy levels, to adopt mobile payments/banking as a means of social distancing in the wake of the increasing threat of Covid-19 in India. Long-term implication for service providers is to convert adopters into loyal consumers by enhancing usefulness and satisfaction.

The study proposes a novel attempt to explain the adoption and continuance of mobile-based payment as a preventive health behavior to contain the spread of Covid-19 outbreak. The study proposes an integrated framework of HBM and ECM to explain pre-adoption and post-adoption behavior of consumers with respect to mobile-based payment services during Covid-19 context.

The sharing economy is changing the way people use products and services, and the success of sharing-based apps like bicycle and automobile sharing has drawn a lot of interest across the world. The purpose of this research is to investigate the factors affecting the consumer's adoption of ride-sharing services.

With this aim, the current study integrates the Technology Acceptance Model (TAM) and Expectancy Confirmation Model (ECM) with a further extension of consumer trust and social norms. Using a survey-based research design, data were collected from 558 respondents using multi-stage convenience sampling on 5 point Likert scale. Confirmatory factor analysis is conducted followed by structural equation modelling using IBM AMOS-22.

The findings of the study report crucial determinants for the consumer's continuance intention and actual use of these services. Perceived usefulness, consumer satisfaction, trust and subjective norms were found positively associated with the continuous intention to use ride-sharing services, whereas perceived ease of use was found to be insignificant. This study also highlights antecedents for the consumer's trust towards these services and found reputation, propensity to trust as a significant contributor whereas structural assurance was found insignificant to establish the trust among the users.

The research on consumer adoption towards ride-sharing services are meagre and this study adds the value to the field by integrating TAM and ECM model with further extension of consumer trust and social norms and empirically test the proposed model.

Technology has revolutionized banking, and “green banking” has been the most recent phenomenon to have caught the financial world's attention. In this paper, the authors look at how personality traits of individuals influence their adoption and continued use of green banking channels. The authors also propose a comprehensive model integrating the “big five” personality traits (conscientiousness, agreeableness, extraversion, openness and neuroticism) into the Technology Acceptance Model (TAM), along with expectation confirmation theory. The integrated proposed model is used in this longitudinal study to predict the continued use of green banking channels once adopted.

The authors collected data during two time periods about 24 weeks apart from 826 green banking channel users from different regions in India. The data were analyzed using Structural Equation Modeling.

The authors found that traits of agreeableness, conscientiousness and extraversion favor an individual adopting green banking channels, while conscientiousness and openness were only associated with its perceived usefulness (PU).

The results offer valuable insights for understanding the adoption and use behavior of people regarding green banking channels. This study would help develop effective segmentation strategies for promoting green banking channels.

By incorporating the big five, along with TAM and Expectation Confirmation Model (ECM), coupled with “trust” as an additional construct, we believe that our study enlarges the boundaries of Information Technology (IT) theories, especially in the context of green banking channels. This study also contributes to advancing the personality theory by exploring how personality traits significantly relate to adopting and using green banking channels.

This study aims to understand the learner behaviour of millennials for Massive Open Online Courses (MOOCs) in the post-adoption stage by extending the theory of Unified Theory of Acceptance and User Technology 2 (UTAUT2) with expectancy confirmation model (ECM) along with personal innovativeness as the exogenous, satisfaction as a mediating and continued intention as an endogenous construct.

This study applied a cross-sectional research design by using a survey method to collect primary data with a structured questionnaire. Convenience sampling was used to collect data from millennial MOOC users, and partial least square structural equation modelling method was applied for data analysis.

The results indicate that performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation influence satisfaction. Similarly, performance expectancy, hedonic motivation, personal innovativeness and satisfaction influence the continued intention for MOOCs.

In terms of limitations, the study applied a cross-sectional research design that could lead to data collection bias. Similarly, the study used convenience sampling as the authors did not have access to the participant list of users from MOOC platforms.

The research highlights various insights to all the stakeholders on improving MOOC satisfaction and enhance the continued intention for millennial learners.

The findings of this research bridge this gap by examining the post-adoption usage behaviour of MOOCs by extending the baseline model of UTAUT2 with personal innovativeness and integrating it with ECM.