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Enterprise resource planning (ERP) systems are sophisticated information technologies (ITs) that enable companies to gain noticeable advantages over their rivals. However, these systems are neither a panacea to competition, nor a medium guaranteeing success. Neglecting a number of important factors in ERP systems implementation might very easily lead to failure instead of success. User satisfaction issues are among those factors that have a semantic impact on ERP systems' success. In this direction, this paper aims to examine the key factors that constitute ERP users' satisfaction and to explore whether ERP users' satisfaction varies among different users' profiles.

An instrument is constructed based mainly on previous ERP users' satisfaction studies. The instrument is then provided to a sample of 68 users within a Greek energy supply organization and also a personal interview is conducted with the chief information officer. Exploratory factor analysis, multiple regression analysis, and statistical inference tests are employed in order to test the research hypotheses.

The results indicate that three main components affect the level of satisfaction of an ERP user: “interaction with the IT department,” “pre‐implementation processes,” and “ERP product and adaptability.” Furthermore, a different satisfaction level has been traced among users from different departments.

This paper presents substantive evidence regarding ERP user satisfaction constituents and further suggests appropriate practices to better manage various behavioral aspects of ERP systems.

The purpose of this paper is to delve into the intricate link between job satisfaction and employees’ turnover intentions. To accomplish this, a detailed structural model was constructed, incorporating five essential constructs: job satisfaction, turnover intention, satisfaction with financial factors, satisfaction with non-financial factors and external factors.

The research used a questionnaire with 28 items based on established tools, focusing on five different constructs. The model’s validation involved applying structural equation modelling to 147 non-managerial employees in microfinance institutions.

The findings reveal a significant negative correlation between job satisfaction and turnover intention. Satisfaction with financial factors significantly outweighs satisfaction with non-financial factors in shaping job satisfaction. In addition, the impact of external factors on turnover intention was observed to be minimal and inconsequential.

This review highlights the importance of investigating the moderating factors in the job satisfaction–turnover relationship, distinguishing between types of satisfaction and conducting longitudinal studies across diverse contexts. It notably presents a diverse range of recent findings in this field, emphasising the breadth of the results that have emerged in this area of research.

Understanding job satisfaction and turnover intention is crucial for microfinance institutions. By prioritising efforts to enhance job satisfaction through improved financial offerings and non-financial factors like a supportive work environment and opportunities for growth, organisations can effectively mitigate turnover rates and foster success.

The study underscores the societal value of supportive work environments beyond just benefits and career opportunities. By understanding the external influences on employee satisfaction, organisations can contribute to building more decent workplaces and promote social well-being, while advocating for social considerations in organisational practices.

This paper uses a novel integrated model comprising five distinct constructs not previously used together. It stands among the pioneering works that not only elucidate the correlation between job satisfaction and turnover intention but also delineate the constituents of job satisfaction itself.

Without the adoption of a uniform agreed upon definition of supply chain management (SCM), researchers and practitioners will not be able to “advance the theory and practice” of the discipline. An integrated definition of SCM would greatly benefit researchers' efforts to study the phenomenon of SCM and those practitioners attempting to implement SCM. This paper aims to address these issues.

Using the qualitative analysis software NVivo, this study examines 166 definitions of SCM that have appeared in the literature to determine important components of an integrated definition of SCM.

Three broad themes of SCM are identified, including: activities; benefits; and constituents/components. An encompassing definition of SCM is developed from the qualitative analysis of these definitions.

While a large number of SCM definitions have been included in the research design, there may be additional definitions that are excluded given the very large number of SCM publications.

A consensus definition of SCM will allow researchers to more precisely develop theory and practitioners to identify the scope and boundaries of SCM.

This paper is the first attempt to include a large number of SCM definitions for the purpose of developing a consensus definition of the concept. Previous literature has included only a subset of published SCM definitions.

The general characteristics of crimes occurring on American college and university campuses have changed, reflecting a much greater frequency and variety of criminal activities. Therefore, many campus police departments are considering alternative mechanisms aimed at crime control and diminishing the fear levels of constituents. While most municipal police agencies routinely arm themselves, traditionally, armed police forces have been uncharacteristic of campus law enforcement, especially at smaller, rural and suburban schools. The present research assesses campus constituency support and rationale for arming the police force at one university. Constituent status, gender, fear of crime, outcome of contact with an officer, and political ideology are among the variables discussed in relation to this contemporary issue.

This paper discusses the notion of quality measurement and describes the role of an enterprise‐wide, technology‐based continuous Quality Measurement System (QMS2000) in the quality assurance program at the University of Louisville. QMS2000 is a relational, interactive information system that includes data from 273 student, alumni, faculty, staff, and employer satisfaction surveys that are linked to corresponding databases at the university. QMS2000 is on‐line, operating in a networked, client‐server environment that permits licensed users access to designated components of the system at any time from designated desktops at the university. QMS2000 users generate reports and perform advanced statistical analyses drawing from the databases. The data and reports are integrated into the accreditation, strategic planning, budgeting, outcomes assessment, and program review processes at the university. The paper closes with a discussion of the initial impacts of QMS2000 on the university’s efforts at quality assurance.

This paper aims to study neighbourhood attachment and satisfaction in a middle-class, high-density and semi-gated neighbourhood in Hong Kong.

Drawing on the findings of survey on 356 households, a principal component analysis and hierarchical regression analysis were conducted to assess how attachment and satisfaction were manifested and whether they were manifested as separate phenomena.

Attachment and satisfaction in neighbourhoods were manifested as separate phenomena. It was further found that residents were broadly attached to and satisfied with their neighbourhood. Of the neighbourhood characteristics identified as influencing satisfaction in previous research, the support was found only for the physical environment and safety but concluded that satisfaction was also influenced by status, neighbourhood youths’ ambition and schools. Contrary to the expectation, the authors did not find support for deeper social bonds as an element of satisfaction. The hierarchical regression analysis indicated that satisfaction may lead to increased attachment.

This study offers policymakers and housing managers’ valuable insights into the management of increasingly large and complex residential neighbourhoods. It helps us understand which initiatives are likely to lead to greater attachment.

Previous studies have focused on neighbourhood attachment and satisfaction in typical low/medium-density settings. This study extends previous efforts to a high-density housing estate of Hong Kong.

The purpose of this paper is to examine the relationships between financial knowledge, socialization and financial satisfaction with financial risk attitude and financial behavior as a mediator after demonetization and introduction of GST.

The sample consisted responses of 286 individuals from the city of Allahabad, Uttar Pradesh, India and making financial decisions for the household for at least last two years. The data were analyzed using exploratory factor analysis and mediation regression analysis.

All sub-scales used to measure constructs had satisfactory reliabilities and internal consistencies. It was found that financial risk attitude and financial behavior both mediate the relationship between financial socialization and financial satisfaction as well as between financial knowledge and financial satisfaction.

This research is based upon survey method and voluntary participation. Hence one can question generalization of findings to larger samples. Moreover, the study is limited to a restricted geographical region which could affect the generalization of findings.

Results provide insights into the antecedents of financial satisfaction of individuals from tier II city of India. Financial planners may utilize this study for enhancement of financial satisfaction of their clients and hence retention of the same.

A majority of researchers use survey without evaluation validity of instruments in the selected context and sample. This research contributed to the literature and practice by testing validation of constructs of financial satisfaction in India.

Describes how the University of Louisville developed a partnership with Dey Systems, a Louisville technology company specializing in quality and measurement solutions, to create a quality measurement system for higher education. QMS2000, a technology‐based enterprise‐wide assessment model, is a relational, interactive information system that includes data from 313 satisfaction surveys that are linked to corresponding databases at the University. QMS2000 is an on‐line information system, operating in a networked, client‐server environment that permits licensed users access to designated components of the system. QMS2000 users generate reports and perform advanced statistical analyses drawing from the QMS2000 databases. The data and reports are used to improve academic and support programs at the university. The role of QMS2000 in the University’s quality improvement scheme and its initial impact are discussed.

The study focuses on the core issue faced by bankers on how to retain existing customers who have encountered an e-service failure and who are skeptical about the justice received through the service recovery process. It further endeavors to create an internal bench-marking model for assessing e-service recovery satisfaction.

By the experimental study, the authors confirm a measurement model using structural equation modeling for examining the impact of perceived service recovery quality antecedents on e-service recovery satisfaction moderated by perceived justice. In total, responses from 399 e-banking customers, who had experienced a e-service failure, were recorded using a 5-point Likert scale with a structured questionnaire.

The perceived e-service recovery quality antecedents identified were perceived information quality, digital commitment, perceived employee performance and perceived service orientation of organization. The empirical results revealed that “perceived information quality” was the most significant predictor of e-service recovery satisfaction. Perceived justice moderates the relation between perceived service recovery quality and e-service recovery satisfaction.

The research does not contemplate the e-service recovery satisfaction of customers who have undergone multiple service failures.

The conclusions of the investigation suggest that the four antecedents of perceived e-service recovery quality model are suitable instruments for creating benchmarks for e-service recovery satisfaction for banks, and that perceived justice moderates the relationship between e-service recovery quality and e-service recovery satisfaction. Therefore, policymakers in banks can use this model to assess the e-service recovery quality, and they ought to enhance the perceived justice feel of the customers who have experienced a service failure.

There remains scarcity of empirical research focusing on perceived information quality and digital commitment as antecedents of perceived e-service recovery quality and its effect on e-service recovery satisfaction in the banking context. Furthermore, similar studies within the banking sector have rarely considered perceived justice as a moderator variable. Hence, this paper attempts to accomplish the research gap by empirically testing the e-service recovery satisfaction level of a large sample of the population toward four antecedents of perceived e-service recovery quality rendered by banks and create a benchmark model to ascertain e-service recovery satisfaction.