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The purpose of this paper is to explore faculty's perceptions of quality management activities (QMA) within their departments, attention being paid to relevant quality aspects and whether quality management contributes to control or improvement of higher education. Furthermore, it examines differences between departments and relationships between the different variables.

A questionnaire containing items with Likert‐type answer scales was distributed to faculty (n=266) of 18 departments of universities of applied sciences in the Netherlands: 16 items dealt with QMA, 17 with attention paid to relevant quality aspects and ten with the perceived effects.

Faculty were neutral about the degree to which sufficient QMA were conducted within their departments. They were positive about the attention paid to relevant quality aspects. Furthermore, they were positive about the effects in terms of improvement and negative about the effects in terms of control. Significant differences were found between departments. Finally, positive correlations were found between management activities, attention being paid to quality aspects and the perceived effect in terms of improvement.

The main limitation of this study is that only faculty's perceptions were measured, thus it is not clear whether these QMA really result in improvement in educational practice.

Departments paying little attention to quality aspects and with few QMA could really benefit from further increasing their quality management efforts.

Quality management is often seen as mainly contributing to control and managerialism. This study demonstrates that according to faculty, quality management is influencing improvement positively.

The purpose of this paper is to investigate the impact of sharing and utilizing remaining shelf life (RSL) information from grocery stores by the use of age-based replenishment policies for perishables.

The performance is evaluated through a discrete event simulation model, which mirrors a part of one of Norway’s largest grocery retailer and uses their POS data to reflect a realistic demand pattern of 232 stores for one year.

The findings indicate that a current age-based replenishment policy (EWA policy) provides a significant improvement of 17.7 percent increase in availability for perishables with a shelf life between 4 and 11 days, but suffers from high inventory levels and only reduces waste by 3.4 percent compared to a base stock policy. A proposed adjustment to the EWA policy, EWA_SS, provides a more balanced performance in the conducted study with a reduction of 10.7 percent waste and 10.3 percent increase in availability by keeping the same average inventory level.

Sharing and utilizing RSL information for replenishment of perishables with a predetermined shelf life between 6 and 11 days can be beneficial, and could enable the replenishment processes to be automated. However, for products with longer shelf life, the benefits slowly diminish.

The study proposes a new age-based replenishment policy which in the conducted study showed a more balanced performance improvement, in both waste and availability, compared with previous replenishment policies.

Gives an overview of quantitative model‐based research in operations management, focusing on research methodology. Distinguishes between empirical and axiomatic research, and furthermore between descriptive and normative research. Presents guidelines for doing quantitative model‐based research in operations management. In constructing arguments, builds on learnings from operations research and operations management research from the past decades and on research from a selected number of other academic disciplines. Concludes that the methodology of quantitative model‐driven empirical research offers a great opportunity for operations management researchers to further advance theory.

The new ways to complete financial transactions have been developed by setting up mobile payment (m-payment) platforms and such platforms to access banking in the financial mainstream can transact as never before. But, does m-payment have veiled consequences? To seek an answer, the research was undertaken to explore the dark sides of m-payment for consumers by extending the theory of innovation resistance (IR) and by measuring non-adoption intention (NAI).

Three hundred individuals using popular online m-payment apps such as Paytm, PhonePe, Amazon Pay and Google Pay were surveyed for the primary data. IBM AMOS based structural equation modelling (SEM) was used to analyse the data.

Each m-payment transaction leaves a digital record, making some vulnerable consumers concerned about privacy threats. Lack of global standards prevents consumers from participating in the m-payment system properly until common interfaces are established based on up-to-date standards. Self-compassion (SC) characteristics such as anxiety, efficacy, fatigue, wait-and-see tendencies and the excessive choice of technology effect contribute to the non-adoption of m-payment.

This study proposes a threat model and empirically explores the dark sides of m-payment. In addition, it also unveils the moderator's role of SC in building the structural relationship between IR and NAI.

The rise of artificial intelligence (AI) applications has driven enterprises to provide many intelligent services to consumers. For instance, customers can use chatbots to make relevant inquiries and seek solutions to their problems. Despite the development of customer service chatbots years ago, they require significant improvements for market recognition. Many customers have reported negative experiences with customer service chatbots, contributing to resistance toward their use. Therefore, this study adopts the innovation resistance theory (IRT) perspective to understand customers’ resistance to using chatbots. It aims to integrate customers’ negative emotions into a predictive behavior model and examine users’ functional and psychological barriers.

In this study, we collected data from 419 valid individuals and used structural equation modeling to analyze the relationships between resistance factors and negative emotions.

The results confirmed that barrier factors affect negative emotions and amplify chatbot resistance influence. We discovered that value and risk barriers directly influence consumer use. Moreover, both functional and psychological barriers positively impact negative emotions.

This study adopts the innovation resistance theory perspective to understand customer resistance to using chatbots, integrates customer negative emotions to construct a predictive behavior model and explores users’ functional and psychological barriers. It can help in developing online customer service chatbots for e-commerce.

This paper aims to explore the impacts of artificial intelligence (AI) on jobs.

The authors followed rapid review guidelines. The authors collected industry and government reports published prior and up to August 2017 in Google and Google Scholar using combination of key words: “job automation” or “work automation” with technology keywords: “artificial intelligence,” “machine learning,” etc. In total, 11 were included in this research.

The use of AI technologies will impact jobs in the near future as some job tasks are automated. AI is likely to substitute both, routine and nonroutine tasks. It is expected that humans and robots would work together in ways never imaginable. Changes in employability skills are expected. Because of the magnitude of these impacts on jobs, consulted reports call for concerted solutions that go beyond organizations’ and industry’s boundaries to include other relevant stakeholders. Moreover, organizations will have to rethink their human resource (HR) function to realign its expertise to the reality of AI.

In this context, the HR function will have to understand the dynamics that generate the impacts of these technologies in a workplace, to anticipate changes and actively contribute to creating an organizational environment that will facilitate the collaboration between human workers and complex digital agents, while ensuring compliance with labor and employment laws and supporting strategic organizational objectives.

This paper contributes to the debate on ongoing concerns by providing a synthesis of relevant professional literature.

The purpose of this paper is to explore how a company which developed an environmentally friendly innovation attempted to address diffusion issues. Specifically, the purpose is to describe the ways in which an electric vehicle (EV) infrastructure company, in partnership with a major car manufacturer, tried to address barriers to diffusion of an environmentally friendly innovation during the development stage to improve the likelihood of success and lessons learned from its failure.

The authors explore a single instrumental case of an Israeli company that developed infrastructure for EVs in partnership with a major automaker. The authors collected data using a series of semi-structured interviews at the companies’ headquarters, through direct observation in the company, and through the examination of archival and secondary data sources.

The authors find that the company tried to incorporate design features in both the product and organization to address key diffusion barriers identified through survey and consumer focus research. The study maps product/service design innovations for infrastructure that combined with multi-stage organizational diffusion strategies for EVs, were used to address both functional (usage, value, and risk) and psychological (tradition and image) barriers for mass-market adoption.

The study provides insights on how to incorporate information about barriers to adoption into product/service design and on the development of organizational-level diffusion strategy to address changes of customer’s behavior required by certain innovative sustainable solutions. In addition, the authors speculate potential causes for more recent developments with the technology that can serve as a lesson for future projects.

Past studies have advanced the knowledge about issues surrounding the adoption and diffusion of EVs. The study expands this stream of research by focussing on product/service and organizational strategy design and by illustrating, through an empirical exploratory case study, how a company attempted to overcome these obstacles. The authors advance various propositions and point out potential exciting avenues for future research on the dissemination of environmentally friendly innovations.

Recently, the Government of India has emphasized digital financial inclusion for promoting cashless transactions with a vision to transform India from a traditional cash-based economy into a cashless economy. Technology-driven payment apps are facilitated greater access to cashless financial services and improve the speed, efficiency, accuracy and effectiveness of financial transactions. This study aims to explore the determinants of quick response (QR) code mobile payment (m-payment) adoption intention among marginalized street vendors in India.

The proposed research model was tested using 320 responses from QR code m-payment users. An interview schedule was performed using the structured questionnaire from marginalized street vendors by adopting a purposive sampling technique. The proposed research framework of this study developed on the Unified Theory of Acceptance and Use of Technology (UTAUT). In addition to the existing variables proposed in the UTAUT model, three more variables have been added, namely, digital financial literacy (DFL), personal innovativeness (PI) and perceived trust (PT). Besides, the study used confirmatory factor analysis and structural equation modeling techniques to analyze the data.

This study confirms that factors such as performance expectancy, effort expectancy, facilitating conditions, PT and customers’ DFL are significant determinants of street vendors’ intention to use QR code m-payment services. However, social influence and PI have shown an insignificant relationship with adopting a QR code m-payment system.

The results provide insights for policymakers and service providers. Specifically, government and bankers design promotional campaigns emphasizing the ease of use, perceived benefits, security and faster business transactions to accept and use the QR code m-payment system to encourage prospective users to achieve a cashless economy.

Many prior studies have widely concentrated on m-payment adoption intention in India. However, only a few studies have attempted to examine the factors influencing the adoption of QR code m-payment services among merchants from emerging economies. There is a dearth of studies on QR code adoption from an unorganized sector perspective, specifically marginalized street vendors. Therefore, this study explicitly examines the extent to which the determinants of adoption intention toward QR code-based m-payment services among marginalized street vendors within the framework of the extended UTAUT model by incorporating DFL, PI and PT. The findings of this study contribute, theoretically and practically, to the existing literature.

Based upon social exchange theory, this study investigates the mediating effect of consumers' trust in banking industry frontline employees on two relationships: (1) the relation between consumers' perceptions of frontline employees' empathy and consumers' perceptions of frontline employees' performance, and (2) the relation between consumers' perception of frontline employees' customer orientation and consumers' perceptions of frontline employees' performance.

The authors used a time-lag research design to collect data through online questionnaires distributed in two waves. The sample comprises 375 respondents having experience and interaction with banking frontline employees.

Results confirm the mediating effect of consumers' trust in the banking industry on the relationships between their perceptions of frontline employees' empathy and consumer orientation on the one hand and their perceptions of frontline employees' performance on the other hand.

Results may be helpful to policymakers and managers in the service industries, prompting them to adopt approaches and strategies designed to build strong relationships with consumers, thus increasing consumers' trust and frontline employees' performance.

This study confirms the relevance of social exchange theory in understanding the role of consumers' trust and perceptions of frontline employees' empathy and consumer orientation in understanding their perception of frontline employee performance in the banking industry.