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The purpose of this study is to examine the relationship between team psychological capital (PsyCap) and team process improvement (TPI) by focusing on the mediating role of team self-managing behaviors (TSMBs) and the moderating effect of the team reward system.

Data were collected from 514 members and their immediate superiors nested in 135 action teams working for a Canadian public safety organization. Hypotheses were tested using a path analytic procedure.

Team PsyCap was positively related to TPI, and this relationship was mediated by TSMBs. In addition, the team reward system positively moderated the first stage of this relationship.

This study highlights the important role that motivational factors play in the effectiveness of action teams. Specifically, the present study reveals that the psychological resources of action teams interact with the level of recognition and reward they receive to predict members’ engagement in self-managing behaviors and in improvement processes.

Findings suggest that to promote the capacity for process improvement of actions teams, managers should focus on their positive psychological resources, their capacity to self-manage and on the level of recognition and reward they receive.

Considering the dynamic and complex environments within which action teams operate, the finding that team PsyCap promotes their optimal functioning is particularly noteworthy. Furthermore, this study clarifies why and when team PsyCap enhances TPI.

The purpose of this paper is to outline the development, structure, and implementation of a new programme for domestic abuse (DA) perpetrators.

A needs-led DA perpetrator programme is proposed, named as “Up2U: Creating Healthy Relationships” (Up2U). The background to Up2U, its aims, configuration, and delivery methods are presented in this paper. To illustrate Up2U, the targets for change and referral population in the development site are discussed. Furthermore, the paper reflects on some of the implementation decisions and the steps taken towards evaluating the impact of Up2U in the development site.

Research supports provision of treatment targeting perpetrators’ criminogenic needs, delivered with responsivity to their learning styles, at an intensity that matches their risk. Change on treatment targets can be evaluated in the context of differences in recidivism outcomes to help assess whether impact can be attributed to the programme. It can also serve as a more proximal index of success/failure for individual clients. Such implementation and evaluation decisions are a benefit of the present researcher-practitioner partnership.

Up2U is innovative by being risk-and needs-led rather than taking a gendered approach to DA treatment, and this new evidence-based approach may reduce partner abuse. This is the first paper to outline Up2U’s structure, content, implementation, and measurement.

In today’s competitive era, it has become significant for companies to understand their end consumer and target customers effectively. One of the ways to accomplish this goal is data-driven marketing. The current study seeks to explore the differences between traditional marketing and digital marketing, the pros and cons of data-driven marketing and usage of artificial intelligence (AI) in data-driven marketing. The research objective was met by exploration of published papers in the past 10 years covering the evolution of data-driven marketing, functions of data engineering, application of technology like AI in data-driven marketing and opportunities and challenges. This study is significant as it provides the insight into the relationship between marketing and data engineering and thus helps marketers to frame strategies by leveraging data-driven marketing to improve consumer experience and gain a competitive edge. Moreover, this study is an interdisciplinary study including marketing, engineering and data science. This study focusses on use of innovative methods to improve profitability of business and consumer experience.

This study aims to investigate the key elements that influence knowledge sharing practice, primarily the relationship between knowledge sharing practice and organizational performance within the oil and gas (OG) industry.

A sample of 203 responses was collected from the OG industry using an online questionnaire. Data were analyzed using applied structural equation modeling to validate the model and test the hypotheses.

The results indicate that significant relationships exist among the model constructs. These findings provide a better understanding of the factors that influence knowledge sharing practices within the OG industry. These findings prove that knowledge sharing practices positively impact organizational performance through cost reduction, organization growth and intangible benefits.

This study demonstrates that organizations in the OG industry may increase performance by adopting knowledge sharing practices. This study also provides practitioners with important information to enhance knowledge sharing practice within their organizations. For instance, managers should focus on Web 2.0 and other knowledge sharing systems to facilitate both tacit and explicit knowledge sharing. The findings provide empirical evidence that knowledge sharing practices allow organizations to transfer expert knowledge to younger generations of employees. As a result, organizations will be able to capture knowledge and alleviate the negative impact of high staff turnover within the OG industry.

The lack of knowledge sharing practices and the eminent loss of technical knowledge within the (OG) industry, because of retirements and turnover, create a difficult challenge for practitioners. Research on knowledge sharing within the OG industry is limited. Therefore, this study provides an in-depth analysis regarding the critical knowledge sharing practices and valuable information to researcher and practitioners’ knowledge sharing practices within the OG industry.

In this chapter, we explore the importance of morality in groups. We draw from decades of research from multiple perspectives, including psychology, neuroscience, philosophy, and organizational science, to illustrate the range of ways that morality influences social attitudes and group behavior. After synthesizing the literature, we identify promising directions for business ethics scholars to pursue. We specifically call for greater research on morality at the meso, or group, level of analysis and encourage studies examining the complex relationship between moral emotions and the social environment. We ultimately hope that this work will provide new insights for managing moral behavior in groups and society.

This paper aims to investigate the sources of variation in aluminum profiles hot extrusion process for the purpose of process capability improvement at National Aluminum and Profiles Company (NAPCO) in Palestine. The critical-to-quality characteristics (CTQ) have been determined as base variables to measure the process capability.

The DMAIC (Define, Measure, Analyze, Improve, and Control) Lean Six Sigma (LSS) approach has been adopted to conduct this study. More specifically, historical data analysis and PARETO charts have been employed. The defects' root causes have been determined using the cause-and-effect diagram and decision matrix. A course of suggested actions has been established to help in improving extrusion process capability. Minitab-18 software was used for conducting inferential statistical analysis. A case study considering a geometry CTQ of D3 dimension of bottom sash aluminum profiles 4,332 was selected for analysis.

The results indicated a reduction in DPMO from 89,649 to 15,659, sigma level was improved from 2.84 to 3.65, process yield was improved from 91.04% to 98.43% and cost was reduced from U$75,972 to U$13,250.9 (i.e. a saving of U$62,721). Studying and improving the sigma level of the extrusion process would yield fewer defective products and consequently fewer customer complaints. A validation process which has been conducted during the year 2019 showed a consistent improvement that aligns with the first stage of improvement made on October 1, 2018.

This study focuses on only one critical quality characteristic (CTQ), namely, a geometry CTQ of D3 dimension of bottom sash aluminum profiles 4,332 produced by NAPCO was selected for analysis.

This study would be useful for researchers and practitioners to improve the process capability in aluminum profiles manufacturing industries in general and hot extrusion processes in particular.

Many previous studies on applying LSS-DMAIC methodology have been conducted in aluminum industries in developed countries. According to the literature, it is highly recommended to have more case studies of applying LSS-DMAIC in different industries in developing countries. NAPCO is the only aluminum manufacturing plant in Palestine that hotly extrudes and coats aluminum profiles. Hence, the present study is the first of its kind in NAPCO and in Palestine. Projecting the assessment of the impact of process improvement opportunities and capability analyses into monetary measures are also innovative.

Increasing personnel costs and labour shortages have pushed retailers to give increasing attention to their intralogistics operations. We study hybrid order picking systems, in which humans and robots share work time, workspace and objectives and are in permanent contact. This necessitates a collaboration of humans and their mechanical coworkers (cobots).

Through a longitudinal case study on individual-level technology adaption, we accompanied a pilot testing of an industrial truck that automatically follows order pickers in their travel direction. Grounded on empirical field research and a unique large-scale data set comprising N = 2,086,260 storage location visits, where N = 57,239 storage location visits were performed in a hybrid setting and N = 2,029,021 in a manual setting, we applied a multilevel model to estimate the impact of this cobot settings on task performance.

We show that cobot settings can reduce the time required for picking tasks by as much as 33.57%. Furthermore, practical factors such as product weight, pick density and travel distance mitigate this effect, suggesting that cobots are especially beneficial for short-distance orders.

Given that the literature on hybrid order picking systems has primarily applied simulation approaches, the study is among the first to provide empirical evidence from a real-world setting. The results are discussed from the perspective of Industry 5.0 and can prevent managers from making investment decisions into ineffective robotic technology.

Human resource allocation is considered a relevant problem in business process management (BPM). The successful allocation of available resources for the execution of process activities can impact on process performance, reduce costs and obtain a better productivity of the resources. In particular, process mining is an emerging discipline that allows improvement of the resource allocation based on the analysis of historical data. The purpose of this paper is to provide a broad review of primary studies published in the research area of human resource allocation in BPM and process mining.

A systematic mapping study (SMS) was conducted in order to classify the proposed approaches to allocate human resources. A total of 2,370 studies published between January 2005 and July 2016 were identified. Through a selection protocol, a group of 95 studies were selected.

Human resource allocation is an emerging research area that has been evolving over time, generating new proposals that are increasingly applied to real case studies. The majority of proposed approaches relate to the period 2011-2016. Journals and conference proceedings are the most common venues. Validation research and evaluation research are the most common research types. There are two main evaluation methods: simulation and case studies.

This study aims to provide an initial assessment of the state of the art in the research area of human resource allocation in BPM and process mining. To the best of the authors’ knowledge, this is the first research that has been conducted to date that generates a SMS in this research area.

This study aims to identify several perspectives that affect the adoption of blockchain technology in India (BCTA) and evaluate their impact. To study the sector’s influence on adoption and the impact of BCTA on the performance of the Indian healthcare supply chain (HSCP) using BCTA as a mediating variable.

In this study, we first developed a conceptual model based on Organizational Information Processing Theory and Technology-Organization-Environment, then formulated hypotheses. Based on this, a questionnaire was developed, and data were gathered from experts in the Indian healthcare industry who were familiar with blockchain technology. AMOS 19 was used to analyze data using structural equation modelling.

All the factors have a significant positive influence on BCTA. Healthcare supply chain factors influenced the adoption most dominantly, followed by technological, environmental, organizational and record-keeping unit factors. Both the public and private sectors of HSCP benefited significantly from BCTA.

This research work is fruitful for healthcare practitioners, top management, academicians and policymakers in assessing BCTA’s impact on the HSCP.

We have attempted to evaluate the possible BCTA impact on HSCP. BCTA as a mediating variable and considering different perspectives for a holistic view of adoption in the Indian context add to this work’s originality.

It is widely agreed that transformation processes that are triggered by crisis events can challenge conventional behavioural norms and stimulate new ideas and innovations that can assist in the preparations for future challenges. This impetus for transformation processes not only applies to the COVID-19 pandemic, but has also been seen in many other instances, such as the Global Financial Crisis in 2008 or the 2011 Fukushima nuclear disaster, which have sparked significant socio-political change processes often with a global reach. The multitude of wicked tourism policy problems discussed in our book often occur in parallel, are of growing complexities, are often not well understood and indistinguishable from one another and exert pressure on the resilience of vulnerable political, economic and community-based systems. These circumstances often present as tipping points which can trigger necessary long-term transformations. However, this process of long-term change must be well planned and strategically implemented. Thus, future transformative destination management should be built on a holistic approach, underpinned by adaptive political leadership in which tourism is not only seen as a driver for economic growth and employment, but as a strategy which successfully integrates social, cultural and ecological goals.