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The automotive industry appears to overcome much of its obstacles, despite the constant struggle facing COVID-19. The pandemic has resulted in significant improvements in the habits and conduct of consumers. There is an increased preference for personal mobility. In this dynamic environment with unexpected changes and high market rivalry, automotive supply chains focus more on executing responsive strategies with minimum costs. This paper aims to identify and model the drivers to the responsiveness of automotive supply chain.

Seventeen drivers for supply chain responsiveness have been identified from the extensive literature, expert interview. An integrated methodology of fuzzy decision-making trial and evaluation laboratory–interpretive structural modelling (DEMATEL–ISM) is developed to establish the interrelationship between the drivers. The cause–effect relationship between the drivers was obtained through fuzzy DEMATEL technique, and a hierarchical structure of the drivers was developed using the ISM technique.

The result of the integrated methodology revealed that strategic decision-making of management, accurate forecasting of demand, advanced manufacturing system in the organisation and data integration tools are the critical drivers.

This study has conceptual and analytical limitations. In this study, a limited number of drivers are examined for supply chain responsiveness. Further research may examine the role of other key performance indicators in the broad field of responsiveness in the automotive supply chain or other industry sectors. Future study can uncover the interrelationships and relative relevance of indicators using advanced multi-criteria decision-making methodologies.

The authors proposed an integrated methodology that will be benefitted to the supply chain practitioners and automotive manufacturers to develop management strategies to improve responsiveness. This study further helps to compare the responsiveness of the supply chain between various automotive manufacturers.

Recently, the interest of scholars studying procedural justice in policing has shifted from the relationship between procedural justice and citizen compliance to trust in police officers’ perceptions of who exercises it. This study explores the relationship between organizational justice and the perception of procedural justice from the perspective of police officers. Furthermore, it investigates the mediating roles of discretion and responsiveness.

Using 441 survey responses from South Korean police officers, a mediation model is outlined and tested using structural equation modeling (SEM). The results showed that police officers’ perceptions of organizational justice had indirect effects on the perceived importance of procedural justice. Moreover, discretion and responsiveness mediate the relationship between organizational justice and perceived procedural justice.

Officers who perceive police fairness are more likely to have a positive perception of procedural justice toward citizens when they have a higher level of discretion and responsiveness. However, police officers’ perceptions of organizational justice are not directly linked to their perceptions of procedural justice.

This study contributes to the generalization of knowledge by empirically testing Van Craen’s theoretical model of the Korean police. It also expands the existing theoretical model by investigating the influence of overall organizational justice and its possible mediators on procedural justice.

This paper investigates how agile capabilities in humanitarian settings work in combination, and its effects on performance outcome. The study was conducted in the frame of reference of response operations during cyclones and floods, which is considered most complex and with the most widespread impact.

A survey-based method was used to collect empirical data on response operations from 131 field officers who were involved in disaster response during cyclones or floods. A partial least square based structural equation model was used to study the path model of interaction of agile capabilities, and their effect on performance outcomes.

The results show that integration of agile capabilities is important for enhancing effectiveness of humanitarian response. The results indicated a serial mediation effect involving visibility, responsiveness and flexibility capability on the effectiveness of emergency response.

This research has implications for response units of humanitarian organisations. This includes capacity building for key agile capabilities, integration, supply chain re-configuration and differential positioning of response phase as against preparedness and recovery phases.

This study is unique for the chosen humanitarian setting, which is considered most difficult. The authors demonstrate from empirical evidence the interaction effects of agile capabilities during response phase for cyclones and floods, and their impact. The research insights will help practitioners to configure and position supply chains for better effectiveness during response operations, which have markedly different objectives vis-à-vis other phases or types of humanitarian settings.

This research sought to examine the differential effect of chatbot banking artificial intelligence (AI) on consumer experience in the banking industry. A positivist paradigm was adopted to sample 389 consumers who were previously exposed to chatbot banking in Zimbabwe. A causal research design was employed whilst a quantitative approach was followed. In analysing data, the research study applied the structural equation modelling (SEM) technique. The authors found that chatbot banking significantly improves customer experience (CX) in the banking industry. Reliability and responsiveness of the chatbot need to be enhanced for effective improvements in CX. A need was also identified to enhance CX through the development of an ease-to-use chatbot which is embedded in everyday messaging applications of consumers. A significant association was also found between perceived benefits of chatbot banking and CX. This study informs the development of competitive advantage by banks and other related companies through AI-based CX management strategies. In times of pandemics and beyond, chatbot banking can be very instrumental in improving CX.

The primary intent of this study was to assess the influence of novelty-seeking on the satisfaction of consumers. The investigation concentrated on Malaysian consumers who have experience using online food delivery (OFD) applications.

To perform the research, non-probability and convenience sampling methods were enforced to gather the required data. An online questionnaire in the form of a Google Survey was conducted in Kuala Lumpur, Malaysia. Upon completion of the survey, the results were analyzed using SPSS software. Both the Service Quality (SERVQUAL) model and expectation disconfirmation theory (EDT) were exploited to shed light on the impact of consumer satisfaction.

Analysis of responses from the 250 participants unveiled that novelty-seeking positively influences consumer satisfaction. The finding depicted that reliability and responsiveness have the most positive impact on consumer satisfaction whereas tangibility has no effect on the satisfaction of consumers by using OFD applications.

This study had three main limitations: first, the limitations on access to the participants during the pandemic; second, combining quantitative and qualitative methods to obtain more accurate results; third, the study was limited to the context of Kuala Lumpur, Malaysia.

The conclusions brought to the fore that OFD marketers should provide appropriate service quality while concentrating on novelty and well-designed apps to surge consumer satisfaction.

OFD apps have facilitated customers' access to various meals and helped food vendors survive in the competitive marketplace. A new aspect, novelty-seeking, is added to the SERVQUAL dimensions (i.e. empathy, tangibility, reliability, assurance and responsiveness) identified in the literature review.

This study aims to investigate the effects of interaction in agricultural product live rooms, including personalization, responsiveness, and entertainment, on consumers’ purchase intention.

The SOR model has been applied to formulate hypotheses. This study is based on an online survey conducted with a sample of 433 valid questionnaires from Chinese consumers on the TikTok agricultural products live platform. A partial least squares structural equation modeling (PLS-SEM) is used to test the hypotheses.

The findings indicate that (1) interactions (personalization, responsiveness, and entertainment) in the agricultural products live room have a positive effect on perceived values (utilitarian value, symbolic value, and entertainment value); (2) utilitarian value positively affects purchase intention and mediates the effects of personalization and entertainment interactions on purchase intention, respectively; (3) entertainment value positively influences purchase intention and mediates the influence of entertainment interaction on purchase intention.

This study offers theoretical insights into live marketing of agricultural products and practical implications for practitioners of agricultural products in live streaming commerce.

In this viewpoint article, the authors recognize the increased focus in health systems on co-design for innovation and change. This article explores the role of leaders and mangers in developing and enhancing a culture of trust in their organizations to enable co-design, with the potential to drive innovation and change in healthcare.

Using social science analyses, the authors argue that current co-design literature has limited focus on interactions between senior leaders and managers, and healthcare staff and service users in supporting co-designed innovation and change. The authors draw on social and health science studies of trust to highlight how the value-based co-design process needs to be supported and enhanced. We outline what co-design innovation and change involve in a health system, conceptualize trust and reflect on its importance within the health system, and finally note the role of senior leaders and managers in supporting trust and responsiveness for co-designed innovation and change.

Healthcare needs leaders and managers to embrace co-design that drives innovation now and in the future through people – leading to better healthcare for society at large. As authors we argue that it is now the time to shift our focus on the role of senior managers and leaders to embed co-design into health and social care structures, through creating and nurturing a culture of trust.

Building public trust in the health system and interpersonal trust within the health system is an ongoing process that relies upon personal behavior of managers and senior leaders, organizational practices within the system, as well as political processes that underpin these practices. By implementing managerial, leadership and individual practices on all levels, senior managers and leaders provide a mechanism to increase both trust and responsiveness for co-design that supports innovation and change in the health system.

The purpose of this study is to identify and prioritize capabilities and practices to ensure a resilient supply chain during an unexpected disruption. In addition, this study ranks maturity factors that influence the main capabilities identified.

This paper is conducted in three stages. First, capabilities and practices are extracted through a literature review. Second, capabilities and practices are ranked using the analytical hierarchical process method. Third, a gray technique for order preference by similarity to ideal solution method is used to rank maturity factors influencing capabilities.

The findings indicate that responsiveness, readiness, flexibility and adaptability are the most important capabilities for supply chain resilience. Also, commitment and communication are the highest maturity factors influencing resilience capabilities.

The findings provide a hierarchical vision of capabilities and practices for industries to increase resilience. Limitations of the paper are related to capabilities, practices and number of experts consulted.

This paper highlights the importance of high-maturity practices in resilience capability adoption. The findings of this study will encourage decisions-makers to increase maturity practices to build resilience against disruption.

The paper reveals that developing powerful capabilities, good practices and a high level of maturity improve supply chain resilience.

Practitioners and academics are starting to recognize the benefits of green IT/IS practices. Despite these benefits, this study aims to know more regarding the factors that would drive organizations to use green IT/IS practices within their IT function and across the enterprise. To further understanding in this area, this study applies a strategic cognition framework of firm responsiveness and institutional theory to determine the extent to which an organization uses green IT/IS practices in response to stakeholder concerns. This study investigates the extent to which two organizational logics – expressive and instrumental – and three institutional pressures – coercive, mimetic and normative – jointly affect an organization's use of both green IT practices and green IS practices.

This study tested the hypotheses with survey data collected from 306 organizations. Structural equation modeling was used for data analysis.

Findings support four joint effects: (1) individualistic identity orientation and coercive pressure positively affect green IT practices; (2) collectivistic identity orientation and normative pressure positively influence green IS practices; (3) cost reduction orientation and mimetic pressure positively affect green IT practices; and (4) revenue expansion orientation and normative pressure positively influence green IS practices.

This study contributes to the literature by providing evidence for joint drivers of green IT and green IS practices. Green IT and IS practices represent organizations' different levels of commitment to environmental sustainability and responsiveness to stakeholders (i.e. green IT/IS practices). Organizations of different expressive and instrumental orientations are attuned to institutional pressures to various degrees, which leads to different green IT/IS practices.

This study empirically demonstrates a contradiction between pillar 3 of Basel norms III and the designation of Systemically Important Banks (SIBs), also known as Too Big to Fail (TBTF). The objective of this study is threefold, which has been approached in a phased manner. The first is to determine the systemic importance of the banks under study; second, to examine if market discipline exists at different levels of systemic importance of banks and lastly, to examine if the strength of market discipline varies at different levels of systemic importance.

This study is based on all the public and private sector banks operating in the Indian banking sector. The Gaussian Mixture Model algorithm has been utilized to classify banks into distinct levels of systemic importance. Thereafter, market discipline has been observed by analyzing depositors' sentiments toward banks' risk (CAMEL indicators). The analysis has been performed by employing the system Generalized Method of Moments (GMM) to estimate models with different dependent variables.

The findings affirm the existence of market discipline across all levels of systemic importance. However, the strength of market discipline varies with the systemic importance of the banks, with weak market discipline being a negative externality of the SIBs designation.

By employing the Gaussian Mixture Model algorithm to develop a framework for categorizing banks on the basis of their systemic importance, this study is the first to go beyond the conventional method as outlined by the Reserve Bank of India (RBI).