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This paper aims to involve both the development of a quantitative measure of outsourcing success that integrates recent research findings on expectations and applying the hierarchy-of-effects (HOE) model to investigating the influence of success on client satisfaction and recommendation intention.

This paper conducted a global survey of information systems managers and Chief Information Officers from firms who have engaged in outsourcing and analyzed the data using partial least squares (PLS).

The study analysis demonstrates the impact of client expectations on perceived outsourcing success, client satisfaction and intention to recommend. This paper also discusses how findings of this study provide important implications for both researchers and practitioners.

To further investigate the theoretical trend toward examining the impact of expectations on outsourcing success, this study extends the foundational success research by quantitatively demonstrating the robustness of an outsourcing success construct that incorporates expectations. Moreover, this study extends the traditional models of success by incorporating factors from each of the stages of client behavior, including cognition, affect and conation.

The applications of Artificial Intelligence (AI) in various areas of professional and knowledge work are growing. Emotions play an important role in how users incorporate a technology into their work practices. The current study draws on work in the areas of AI-powered technologies adaptation, emotions, and the future of work, to investigate how knowledge workers feel about adopting AI in their work.

We gathered 107,111 tweets about the new AI programmer, GitHub Copilot, launched by GitHub and analysed the data in three stages. First, after cleaning and filtering the data, we applied the topic modelling method to analyse 16,130 tweets posted by 10,301 software programmers to identify the emotions they expressed. Then, we analysed the outcome topics qualitatively to understand the stimulus characteristics driving those emotions. Finally, we analysed a sample of tweets to explore how emotional responses changed over time.

We found six categories of emotions among software programmers: challenge, achievement, loss, deterrence, scepticism, and apathy. In addition, we found these emotions were driven by four stimulus characteristics: AI development, AI functionality, identity work, and AI engagement. We also examined the change in emotions over time. The results indicate that negative emotions changed to more positive emotions once software programmers redirected their attention to the AI programmer's capabilities and functionalities, and related that to their identity work.

Overall, as organisations start adopting AI-powered technologies in their software development practices, our research offers practical guidance to managers by identifying factors that can change negative emotions to positive emotions.

Our study makes a timely contribution to the discussions on AI and the future of work through the lens of emotions. In contrast to nascent discussions on the role of AI in high-skilled jobs that show knowledge workers' general ambivalence towards AI, we find knowledge workers show more positive emotions over time and as they engage more with AI. In addition, this study unveils the role of professional identity in leading to more positive emotions towards AI, as knowledge workers view such technology as a means of expanding their identity rather than as a threat to it.

Agile principles have been widely used in software development team practice since the creation of the Agile Manifesto. Studies have examined variables related to agile principles without systematically considering the relationships among key team, agile methodology, and process variables underlying the agile principles and how these variables jointly influence the achievement of software development agility. In this study, the authors tested a team/methodology–process–agility model that links team variables (team autonomy and team competence) and methodological variable (iterative development) to process variables (communication and collaborative decision-making), which are in turn linked to software development agility (ability to sense, respond and learn).

Survey data from one hundred and sixty software development professionals were analyzed using structural equation modeling methods.

The results support the team/methodology–process–agility model. Process variables (communication and collaborative decision-making) mediated the effects of team (autonomy and competence) and methodological (iterative development) variables on software development agility. In addition, team, methodology and process variables had different effects on the three dimensions of software development agility.

The results contribute to the literature on organizational IT management by establishing a team/methodology–process–agility model that can serve as a basis for developing a core theoretical foundation underlying agile principles and practices. The results also have practical implications for organizations in understanding and managing holistically the different roles that agile methodological, team and process factors play in achieving software development agility.

The study aims to drive conceptual clarity around resistance to information technology projects, integrating multiple facets of the phenomenon from earlier studies.

The study conducts a meta-synthesis of qualitative studies on resistance to technology projects; it analyzes those studies at a case-specific level, compares and contrasts emergent concepts against each other, and “translates” those to the rest of the studies. The study uses the seven-step meta-ethnography method by Noblit and Hare to reciprocally translate emergent concepts to construct the conceptual model.

Through meta-synthesis, the study derives a new conceptual model for resistance to information technology projects, exemplifying how the identified antecedents create user resistance and how the phenomenon progresses within organizations.

This study enriches the observations and conclusions of past individual studies while explicating various facets of the mechanisms that generate and progress technology resistance within organizations. It offers fresh insights into the equivocal nature of the phenomenon and the distinctive ways it progresses from individual to group level.

Many ambitious and costly digital transformation efforts do not succeed due to user resistance. Understanding the mechanisms that create user resistance can help organizations manage technology projects better, thereby reducing the technology assimilation gap and protecting returns on related investments.

There have been extensive studies on technology acceptance (enablers) within organizations, while those relating to technology inhibitors are somewhat limited. However, the symmetry of understanding between enablers and inhibitors is vital for organizations to assimilate promising technologies and transform their business models. This model uses a new lens of sensemaking theory to explain how the antecedents trigger perceived threats and resistance behavior; it highlights the nuances around the development of resistance within individuals and its progression to groups. The resultant model offers better generalizability in organizational contexts.

Developing economies like India have adopted the Sustainable Development Goals of sustainable cities and communities and reduced inequalities to achieve inclusive development and growth. Globally, the indigenous communities or tribals seek reparation for conflicts between proclaiming indigenous rights and claiming natural resources. There is little literature on challenges to the social inclusion of the tribes or the indigenous people. This literature review study aimed to (a) introduce the problem of social exclusion of indigenous people, (b) discuss the most researched dimensions of social inclusion of the tribal or indigenous people using relevant theoretical frameworks and (c) to develop conceptual frameworks on the theory of social inclusion of the indigenous people. PRISMA protocol was followed, and various tools were used for bibliographic management and text mining with 58 articles selected from 944 journals indexed in Web of Sciences. The analysis of the literature underscores four pivotal themes namely (1) the cultural identity of indigenous people, (2) the debate on the legitimacy of the rights of indigenous people rights and sustainable development, (3) factors impacting the social inclusion of the indigenous people and (4) coping strategies for the social inclusion of the indigenous people. The literature review highlights urgent needs to socially include indigenous and tribal people. Various factors impact the financial inclusion of the poor, including cognitive and affective factors. It is essential to leverage the skills and expertise of the local indigenous people for forest management and land management to ensure the social inclusion of the poor and tribes.

The competition in the academe has always been tough, but today, the academe seems to be more like an industry than an academic community as academics are evaluated through quantified and economic means.

This article leans on Heidegger’s thoughts on the essence of technology and his ontological view on being to show the dangers that lie in this quantification of researchers and research.

Despite the benefits that information systems (ISs) offer to people and research, it seems that technology has made it possible to objectify researchers and research. This has a negative impact on the academe and should thus be looked into especially by the IS field, which should note the problems that exist in its core. This phenomenon of quantified academics is clearly visible at academic quantification sites, where academics are evaluated using metrics that count their output. It seems that the essence of technology has disturbed the way research is valued by emphasising its quantifiable aspects. The study claims that it is important to look for other ways to evaluate researchers rather than trying to maximise research production, which has led to the flooding of articles that few have the time or interest to read.

This paper offers new insights into the current phenomenon of quantification of academics and underlines the need for critical changes if in order to achieve the academic culture that is desirable for future academics.

Sharing project information is critical for the success of medical crowdfunding campaigns. However, few users share medical crowdfunding projects on their social networks, and the sharing behavior of medical crowdfunding projects on social networking sites has not been well studied. Therefore, this study explored the factors and potential mechanisms influencing users’ sharing behaviors on networking sites.

A research model was developed based on the attribution-affect model of helping and social capital theory. Data were collected using a longitudinal survey. Partial least squares structural equation modeling was used to analyze the collected data. We conducted post hoc analyses to validate the results of the quantitative analysis.

The analysis results verified the effects of perceived external attribution, perceived uncontrollable attributions, and perceived unstable attributions on sympathy and identified the effect of sympathy and social characteristics of medical crowdfunding users on sharing behavior.

This research provides a comprehensive theoretical understanding of users’ sharing behavior characteristics and provides implications for enhancing the efficiency of medical crowdfunding activities.

This paper aims to provide a comprehensive framework on how and when musical elements such as keys, complexity, tempo and volume influence consumers’ mood, attention, information recall, product evaluation and purchase decisions in the context of retail therapy.

This paper builds on a critical literature review to develop a conceptual framework and formulate relevant propositions, leveraging self-regulation and self-control theories.

Through our analysis of these studies, we found that in musical retail therapy, minor keys paired with high complexity can intensify negative moods and negative product evaluation. Conversely, major keys combined with low complexity can moderate negative and positive moods, leading to positive product evaluations. We argue that high tempo and high volume can invoke high arousal and low impulse control, leading to low attention and low recall. This subsequently moderates the negative mood, resulting in weak negative product evaluation. Low tempo and low volume, however, invoke low arousal and high impulse control, leading to high attention and high recall, which moderates negative mood and negative product evaluation.

Reflecting on the limitations of the existing studies, this conceptual work proposes a comprehensive theoretical framework for understanding the significance of musical elements in retail therapy that can enhance consumers moods and experiences. Further, the current paper is different from the existing literature in that it helps academic researchers and marketers understand different ways to use musical elements that can positively affect consumer behavior in a complex situation like retail therapy.

Urban areas, especially in the coastal region of Bangladesh, face environmental degradation due to rapid urbanization, uncontrolled socio-economic activities and experiencing the adverse impacts of climate change. Nature-based solutions (NbS) as options for restoring, preserving, maintaining and elevating natural features or systems are becoming popular for reducing vulnerabilities caused either by natural hazards or human-induced activities. With this understanding, this study aims to explore the need of practicing NbS by studying the condition of a tidal canal (known as Thakurani Khal) and its peripheral areas of Mongla Port Municipality, a coastal and seaport town in Bangladesh.

This case study-based research uses multiple inquiries, including focus group discussions, pair-wise comparison, observation, GIS-based mapping, key informant interviews and secondary climate data review, to understand the spatial development of the area and community reactions to the changes in the urban environment.

The natural water flow of this canal is controlled by sluice gates that indirectly allowed the dweller to encroach its lands and convert the canal into a solid waste dumping area. These human-induced activities as well as the climate change-induced events (i.e. extreme heat, intensive and irregular rainfall, increased number of cyclones, etc.) have made the adjacent areas prone to waterlogging and drainage congestion. In this context, the revival of the original natural quality of the canal has been identified as an alternative to ensuring an adaptive urban environment.

This research highlights the importance of practicing NbS for developing urban resilience in the context of climate change.

Using the lens of crisis innovation and strategic alignment, this study explores how a segment of the restaurant sector that may be less agile than others—Michelin-starred restaurants—perceives and aligns with the challenges brought about by the COVID-19-pandemic.

The study collected data from 19 Michelin-starred restaurants in Spain using a qualitative interview method. The data were analyzed qualitatively and organized thematically.

Four key categories of strategic challenges were identified: human resources, uncertainty, control and economic challenges. In response, chefs displayed both behavioral and organizational strategies. Those organizational strategies were new human resource management, reorganization, product and service innovation and marketing. While the new human resource management actions adopted to align with the human resource challenges identified, a misalignment remains between some of the other strategic actions, such as product and service innovation, marketing and economic and uncertainty challenges.

The findings offer new insight into Michelin-starred restaurant chefs' challenges and (mis)alignment strategies, an area that has been understudied in the current literature on innovative responses in the hospitality sector post-pandemic.