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This study aims to analyze the role of trust in the leader as a contextual factor and the personality of the employee as an individual factor in the relationship between transformational leadership (TFL) and resistance to change (RC).

A total of 170 surveys were applied to employees in two organizations that had recently implemented a change. Using hierarchical regression and Hayes’ PROCESS macro, both direct and indirect relationships were analyzed.

The results show that TFL is negatively related to RC. Nevertheless, such a relationship is partially mediated by trust in the leader and moderated by two employee personality traits (openness and neuroticism), both of which strengthen the relationship. Similarly, employee’s openness to experience is negatively related to RC.

This research contributes to understand the relationship between leadership and RC, incorporating both contextual and individual factors, as literature has debated over whether resistant to change obeys to factors surrounding the employees, or within them. While this research contributes to this approach, its contributions extend beyond the leadership–resistance relationship to include indirect (mediation and moderation) relationships. Consideration of the moderating role of the employee’s personality in the effect of the leader’s behavior on the employee’s resistance, for instance, contributes to the development of a theoretical logic that helps to explain the leader–follower interaction and its effect on the follower’s attitudes and behaviors.

This paper aims to explore the effects of interpersonal conflicts in the social workplace on various rationalized, knowledge-hiding behaviors in service organizations. This research also examines employee well-being as a mediator to explain the effects of interpersonal conflicts at work on knowledge-hiding behaviors.

First, relevant literature provided the theoretical basis for the conceptual model that links the core constructs of this research. A quantitative study collected data from 395 employees of a global consulting firm with a branch located in a developing country. Finally, an analysis of the structural equation modeling with MPlus 7 software tested the measurement and the structural model.

The results of this study suggest that interpersonal conflict at work influences knowledge-hiding and that employee’s well-being mediates this relationship. In other words, employees strategically choose what knowledge-hiding behaviors to use – such as evasion or “playing dumb” – to cope with the lack of well-being caused by high interpersonal conflicts in the workplace.

Although contextual and individual factors may trigger knowledge-hiding behavior at work, the current literature has overlooked the combined effects of such factors, especially in service settings. Knowledge hiding in service organizations is a weakness that can lead to significant economic losses, especially in firms that are intensively knowledge-based. Thus, it is necessary to identify the antecedents of knowledge-hiding behavior to deter low performance in these organizations.

Despite large bodies of research related to the impacts of e-commerce on last-mile logistics and sustainability, there has been limited effort to evaluate urban freight using an equity lens. Therefore, this study proposes a modeling framework that enables researchers and planners to estimate the baseline equity performance of a major e-commerce platform and evaluate equity impacts of possible urban freight management strategies. The study also analyzes the sensitivity of various operational decisions to mitigate bias in the analysis.

The model adapts empirical methodologies from activity-based modeling, transport equity evaluation, and residential freight trip generation (RFTG) to estimate person- and household-level delivery demand and cargo van traffic exposure in 41 U.S. Metropolitan Statistical Areas (MSAs).

Evaluating 12 measurements across varying population segments and spatial units, the study finds robust evidence for racial and socio-economic inequities in last-mile delivery for low-income and, especially, populations of color (POC). By the most conservative measurement, POC are exposed to roughly 35% more cargo van traffic than white populations on average, despite ordering less than half as many packages. The study explores the model’s utility by evaluating a simple scenario that finds marginal equity gains for urban freight management strategies that prioritize line-haul efficiency improvements over those improving intra-neighborhood circulations.

Presents a first effort in building a modeling framework for more equitable decision-making in last-mile delivery operations and broader city planning.

Seeking to build an objective scientific approach to psychiatry, American psychiatrists, physiologists, and psychologists began to turn to the conditional reflex method of Ivan Pavlov from the late 1920s. The generation of “neurotic” animals in the laboratory was critical to the emergence of a new experimental psychiatry in the United States. To understand the development of this field of research, the chapter will draw first on Mary Morgan’s identification of the mediatory and intermediary role of models and their ability to surprise and generate new questions, and second, upon her recent work on narratives in science. It will argue that it was through discursive and descriptive techniques that traced over time the tangled and interconnected lives of experimental subjects, that such elements of unpredictability in the animal laboratory were transformed into tools of research and put to disciplinary uses, promoting the clinical relevance of this new objective approach to psychiatric medicine.

Recent developments in healthcare contexts increasingly emphasize patient-centred approaches to service quality measures; however, few studies consider this dimension explicitly. The present study develops and psychometrically validates a scale of healthcare service quality explicitly incorporating a patient-centred care dimension from a communicational perspective. The paper also enriches the traditional content of service quality by including equity items and presents the underlying structure of service quality in an emerging country.

The final sample consisted of 869 healthcare users (complete cases in the service quality items derived from 917 surveys received) from Colombia. The authors used a psychometric analytics framework comprising seven processes incorporating exploratory factor analysis, structural equation modelling, and machine learning methods to examine construct plausibility, reliability, construct validity, equity, and criterion/predictive validity (e.g. explaining/predicting subjective well-being and behavioural intentions).

The final scale consists of 17 items and satisfies all psychometric properties. Its validation allows for the discovery and psychometrical confirmation of two essential dimensions: patient-centred communication (eight items) and process quality (nine items).

The authors illustrate three practical uses of the scale: the possibility for diagnoses; hypothesis contrast based on confidence intervals; and estimation of the capacity of the service to satisfy specifications.

Both dimensions reveal users' relevant needs and complement previous studies that have focused on process aspects of healthcare service quality.

This study aims to identify critical online teaching effectiveness factors from instructors’ perspectives and experiences during COVID-19.

This study used a qualitative phenomenology approach. In addition, the research used a snowball sample to identify faculty in the engineering and engineering technology fields with experience in online teaching and learning. All interviews were conducted online by the researchers. The interview questions were based on findings in the current literature. Further, the questions were open-ended.

The analysis identified eight major themes that impact online teaching effectiveness: class recordings; course organization; collaboration; engagement; exam, assignment and quiz grades; games; valuable course content; and student timely feedback and response.

The study was not designed to be generalizable to the entire population of professors who teach online classes but to gain insights from faculty who taught online courses during the COVID-19 pandemic.

Faculty can use the factors identified for online teaching effectiveness to enhance their course design and delivery while teaching online or blended courses.

This research provides insights into factors that impact online teaching effectiveness during the COVID-19 pandemic.

This chapter analyses the development of oleotourism through the use of local resources in a democratised decision-making process. It explains that the production of olive oil is making a novel contribution to the tourism industry. The authors suggest that oleotourism is also offering opportunities for stakeholder engagement. Therefore, the authors identify key elements that serve as drivers for the development of oleotourism in Jaén. They put forward a framework that can lead to a democratised decision-making process that is intended to support the stakeholders of oleotourism.

This chapter begins with a reflection on the call for investigating how entrepreneurial competencies are developed (Bird, 1995) in the context of university-based entrepreneurship centers. Through clarifying the nature of entrepreneurial competencies and applying a social constructivist perspective of learning, it is proposed that effective nurturing of entrepreneurial competencies for university students through entrepreneurship centers shall be based on five key characteristics; namely, active experimentation, authenticity, social interaction, sense of ownership, and scaffolding support. The chapter contributes to the literature through establishing a link between entrepreneurship education and entrepreneurial competencies in the context of university-based entrepreneurship centers, which have become an increasingly popular way for promoting entrepreneurial development. The practical implications on nurturing entrepreneurs through entrepreneurship centers are discussed, together with the directions for further research. This chapter is designed as a refection upon Bird’s original article articulating the concept of entrepreneurial competencies. In this chapter, the author outlines how entrepreneurial competencies can be developed through education programs, specifically via entrepreneurship centers.

This paper aims to explore the requirements of organizational knowledge management initiatives using requirements engineering techniques, identifying the optimal techniques configuration and serving as a management tool for knowledge engineers.

The method is selection attributes. Knowledge management enablers are characterized and mapped with the coverage capabilities of requirements engineering techniques, using the attributes of the elicited object and a box-plot analysis. The information is gathered from 280 references, 32 companies and 16 experts in requirements engineering.

Requirements of organizational knowledge management initiatives are got optimally by combining interviews, use cases, scenarios, laddering and focus group techniques. The requirements of structure and processes are more complex to identify, while culture requirements are the best covered.

Knowledge management enablers are analyzed according to the current studies and comprehension of engineering techniques.

Knowledge engineers need to consider the coverage capabilities of engineering techniques to design an optimal requirement identification and meet the objectives of organizational knowledge acquisition initiatives. Requirement engineers can improve the requirements identification by a staged selection process.

The requirements of knowledge management initiatives that impact the community can be identified and traced to ensure the knowledge objectives. Requirements related to culture and people, like shared values, beliefs, and behaviors, are also considered.

To the best of the authors’ knowledge, this is the first study about formal requirement identification of knowledge management initiatives in the organizational context, providing the optimal configuration. A novel staged process is proposed for requirements engineering techniques selection, analyzing the enablers at component level and identifying the attributes associated with the elicited object.