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This paper investigates effective human-robot collaboration (HRC) and presents implications for Human Resource Management (HRM). A brief review of current literature on HRM in the smart industry context showed that there is limited research on HRC in hybrid teams and even less on effective management of these teams. This book chapter addresses this issue by investigating factors affecting intention to collaborate with a robot by conducting a vignette study. We hypothesized that six technology acceptance factors, performance expectancy, trust, effort expectancy, social support, organizational support and computer anxiety would significantly affect a users' intention to collaborate with a robot. Furthermore, we hypothesized a moderating effect of a particular HR system, either productivity-based or collaborative. Using a sample of 96 participants, this study tested the effect of the aforementioned factors on a users' intention to collaborate with the robot. Findings show that performance expectancy, organizational support and computer anxiety significantly affect the intention to collaborate with a robot. A significant moderating effect of a particular HR system was not found. Our findings expand the current technology acceptance models in the context of HRC. HRM can support effective HRC by a combination of comprehensive training and education, empowerment and incentives supported by an appropriate HR system.

This paper aims to explore the how, why, who and what of collaborations in green innovation.

The study is based on 11 case studies conducted at high-technological firms where 30 top management representatives were interviewed.

The study shows that firms share knowledge on green innovation across industries through horizontal collaborations and their extended network, such as their suppliers’ and customer’s networks in other industries. The results also show that digitalization, connectivity and big data are considered important vessels to improve environmental sustainability, as firms believe that these technologies will result in large gains related to resource utilization. Finally, the firms in this study engaged to a wide extent in green innovation activities, which resulted in a variety of improved resource utilization related to energy efficiency, new materials, new technologies, limiting emissions and recycle management.

The paper contributes to the literature by showing that firms share knowledge on green innovation not only within their network but also across industries through horizontal collaborations and their extended network.

The study points to the complexity of collaborating on green innovation. The authors show the importance of digitalization to improving environmental sustainability, with managers needing to develop business models and finding collaboration partners that can facilitate the transformation towards more connected products and services.

The study contributes to the field of supply network collaboration by studying how firms collaborate to improve environmental sustainability.

This paper seeks to give empirical examples of the processes whereby networks learn to collaborate. Specifically, the authors aim to examine efforts to learn to collaborate in response to the challenge of climate change.

The paper uses case study research methods to examine concepts previously developed in the literature and propose a conceptual framework of barriers to learning to collaborate.

Existing research on collaboration over environmental issues highlights the prevalence of cognitive deficiencies, an abundance of conflicts and disputes and the ignorance of exchange opportunities among interdependent actors. Based on a theoretical review and an empirical case study, the authors put forward a framework that involves three stages. The paper proposes that networks learning to collaborate undergo a process of: framing the problem; negotiating; and achieving wise trades.

At all three of the stages given above, there are significant cognitive biases, which can lead to failure to learn to collaborate. The paper gives examples that should help businesses and regulators to understand and avoid in‐built barriers that could lead to a failure of the network to learn to collaborate.

The paper reviews a number of research disciplines linked to collaboration and gives an empirical case study that explores their links. The authors then propose a conceptual framework of barriers to learning to collaborate, which can be used to help guide practitioners. Failure to learn to collaborate can be found in the many contemporary cases of conflicts and disputes; such as in the areas of intellectual property rights, international trade, inter‐firm alliances and vertical marketing systems.

Green innovation in supply chains is crucial for socioeconomic development and stability. Factors that influence collaborative green innovation in the supply chain are complex and diverse. Exploring the main influencing factors and their mechanisms is essential for promoting collaborative green innovation in supply chains. Therefore, this study analyzes how upstream and downstream enterprises in the supply chain collaborate to develop green technological innovations, thereby providing a theoretical basis for improving the overall efficiency of the supply chain and advancing green innovation technology.

Based on evolutionary game theory, this study divides operational scenarios into pure market and government-regulated operations, thereby constructing collaborative green innovation relationships in different scenarios. Through evolutionary analysis of various entities in different operational scenarios, combined with numerical simulation analysis, we compared the evolutionary stability of collaborative green innovation behavior in supply chains with and without government regulation.

Under pure market mechanisms, the higher the green innovation capability, the stronger the willingness of various entities to collaborate in green innovation. However, under government regulation, a decrease in green innovation capability increases the willingness to collaborate with various entities. Environmental tax rates and green subsidy levels promote collaborative innovation in the short term but inhibit collaborative innovation in the long term, indicating that policy orientation has a short-term impact. Additionally, the greater the penalty for collaborative innovation breaches, the stronger the intention to engage in collaborative green innovation in the supply chain.

We introduce the factors influencing green innovation capability and social benefits in the study of the innovation behavior of upstream and downstream enterprises, expanding the research field of collaborative innovation in the supply chain. By comparing the collaborative innovation behavior of various entities in the supply chain under a pure market scenario and government regulations, this study provides a new perspective for analyzing the impact of corresponding government policies on the green innovation capability of upstream and downstream enterprises, enriching theoretical research on green innovation in the supply chain to some extent.

This study examines challenges to cross-sector collaboration in disasters. The authors use Malaysian flooding as the context for the study and offer a framework to understand different types of collaborators in disaster settings.

Data were collected with semi-structured interviews, complemented with secondary data from government documents and news reports. The authors interviewed a total of 30 participants including six disaster aid recipients and 24 strategic and operational participants from 12 disaster management organizations. Thematic analysis was conducted including two cycles of coding, memoing and constant comparisons.

The authors present two key theoretical contributions: key barriers to cross-sector collaboration and a typology of collaboration in disasters. Key barriers include leadership approach and central vs local decision-making, differing levels of motivation to collaborate and the organizations' ability to collaborate in disasters. Despite these barriers, collaboration does occur in disaster settings. The authors suggest that the forms of collaboration may be driven primarily by differing motivations to collaborate and differing perceptions of others’ ability to collaborate, resulting in four types of collaboration: (1) enthusiastic, (2) mandate-driven, (3) reluctant and (4) non-collaboration.

The authors show that although the command-and-control model was dominant, organizations also attempted to improve disaster management efficacy through collaborative approaches. Central institutional agencies and their wider external partners are capable of using cross-sector collaboration as a strategy to tackle the complex problems post-disaster. However, pre-disaster relationship building will likely help organizations to collaborate more effectively when a disaster occurs.

This study aims to compare the expectations of non-collaborating professionals and the actual opinions of collaborating professionals regarding success factors of horizontal logistics collaboration (HLC) and investigates the reasons behind the observed differences.

This study employs a mixed-method approach. First, a survey is conducted to collect data from two samples representing collaborating and non-collaborating industry professionals. Second, confirmatory factor analysis (CFA) is used to compare the measurement models from the two samples and identify their similarities and differences. Third, a Delphi study is conducted to identify factors limiting collaborative behavior.

The results show that collaborating professionals exhibit lower levels of joint relationship efforts and trust than expected. This is primarily due to inadequate information sharing, poor collaboration formalization and the absence of a clear costs and benefits allocation mechanism.

The findings indicate that, in HLC, managers should give high importance to facilitating timely and complete information exchange, putting in place an acceptable costs/benefits allocation mechanism, formalizing the collaboration and prioritizing integrity over competency when selecting partners.

To the best of the authors’ knowledge, this is the first study that shows the existence of differences between industry professionals' pre-collaboration expectations and the actual experiences in HLC. This is also the first study that points to the exact HLC enablers that fail in practice and the barriers responsible for it.

Assessing the research performance of researchers offers inducement toward excellence in research. This study aims to analyze the research productivity of the most prolific authors of Pakistan considering their trends toward publications, citations and collaboration.

Top 100 authors from the top 10 Pakistani universities from Web of Science over the 10 years with the rigorous data cleaning process were selected. Scientometric analysis techniques were carried out to evaluate the research profile of these authors.

The findings revealed that majority of the productive authors were male working in the position of Professor in the physical sciences area. The publications and citations gradually increase with time. They preferred to collaborate for their publications, while first authorship publications were found less in number. Moreover, the propensity to collaborate at the international level increases double-fold from the first five years to the next five years period. In addition, the position of the authors was explored among different performance metrics. The finding exhibits variation in the ranking of authors among them. The impact of numbers of authors, funding status, publication of articles, presence of collaboration and international collaboration on the dependent variable and citation count was insignificant. However, the publication of review papers has a significant impact on the citation counts.

Findings have significant implications for policymakers to make maximum opportunities for researchers to strengthen linkages for collaboration and increase the funding prospects.

Studies on this topic are scarce, and therefore, this study provides useful recommendations to researchers and institutes to improve research productivity.

The purpose of this paper is to apply a fuzzy LinPreRa cognitive map to evaluate the interaction and importance of factors affecting the development of strategic alliance partnerships between the outlying island duty-free shops and existing collaboration firms in duty-free shops. Meanwhile, the key factors should be considered in establishing strategic alliance partnerships while analyzing and comparing the perspectives of owners for outlying island duty-free shop and partner vendors of collaborating firms along with differences of influencing key factors on partnership quality.

This study incorporates a fuzzy linguistic preference relation analytical network process (fuzzy LinPreRa ANP) in the fuzzy cognitive map (FCM) method to formulate a fuzzy LinPreRa cognitive map to evaluate the interactions and importance of key factors and the conditions of interactive impacts during the establishment of strategic alliance partnerships. The authors use the outlying island duty-free shops in Taiwan as the empirical subject to illustrate how the fuzzy LinPreRa cognitive map is applied. In-depth, interviews and questionnaire surveys are conducted to collect and evaluate respondents concerning key factors affecting strategic alliance partnerships establishment.

The following three findings based on the results of empirical analysis: first, the administrative behavioral patterns of managers for strategic alliance partnerships encompass shared values and goal coherence, while the associative statements are located on the first layer of fuzzy LinPreRa cognitive map core associations, which illustrates that businesses attach great importance to conceptual ideas. Second, integrity and reputations of both parties are the governing mechanism of strategic alliance partnerships, influencing mutual reputation. Third, the relationship of strategic alliance partnerships refers to the profit opportunities of both parties and their ability to respond to the market, including future development, regional indicators, marketing capabilities, brand multiplicity and customer retention. However, it can be inferred that such associative factors are located in the outer layer or belong to noncore associations, which means that both parties’ abilities to respond to market reactions are weakened.

This study provides valuable relationship managerial strategies to maintain long-term partnerships for outlying island duty-free shops and their alliance collaborating firms including strengthened relationships of both parties’ managers to achieve common values and consistent objectives; improved beneficial value of both parties in strategic alliance partnerships; continued close communications to enhance the quality of strategic alliance partnerships; and establishment of personnel training mechanisms and strict formulation of management rules for strategic alliance partnerships.

The main valuable contributions are included the fuzzy LinPreRa cognitive map by combining two different decision methods including FCM and fuzzy LinPreRa ANP is proposed to help decision makers to improve the evaluation quality and calculation efficiency for critical elements’ interaction and importance; the fuzzy LinPreRa cognitive map can clarify considering significant factors when maintaining strategic alliance partnerships and further provide valuable relationship managerial strategies to maintain long-term relationships for duty-free shop owners and their alliance collaborating firms.

Third sector organizations regularly innovate through collaboration with other organizations in order to secure resources and to increase the potential to more effectively meet each collaborator's mission. Following a review of relevant literature, the purpose of this paper is to explore and document the variety of ways that third sector organizations collaborate with other nonprofit organizations.

The paper reviews the literature regarding motivations to collaborate, barriers to collaboration, and ways to ensure that collaboration is successful. Drawing on exemplary cases of collaboration that applied for a national (USA) prize, the paper describes the range of collaborations that third sector organizations used to enhance their performance and productivity.

The analysis culminates in eight models: the fully integrated merger, partially integrated merger, joint program office, joint partnership with affiliated programming, joint partnership for issue advocacy, joint partnership with a new formal organization, joint administrative operations, and confederation.

All cases are drawn from one country in one part of the world, the USA; some models will have less veracity in other countries or contexts, and the nonprofit sectors of other countries will likely generate additional kinds of models not anticipated by the USA cases. Second, the eight models generated by the method are the result of debate, deliberation, and iterative process carried out by two coders. Other coders employing the same analytic process might generate more or fewer models.

Once nonprofit boards, staff, and other advocates understand the potential that can come with collaboration, blurring boundaries and giving up autonomy might not seem so intimidating. The practical value of our work is in reporting the wide array of options available to nonprofits – models that staff and board can use to plot their way forward.

The value of our work to research is identification of the assortment of ways that nonprofits collaborate. Future research may consider how any of the issues discussed in the literature – trust, co-opetition, resource dependence, network connectedness – vary or are conditioned by differences across these models of collaboration.

The paper documents collaboration as a viable strategy for the enhancement of performance and productivity among third sector organizations in the USA. For each model described, the paper discusses the circumstances in which they might be used, as well as the challenges and advantages associated with implementation.

Currently, people leaving prisons face concurrent risks from the COVID-19 pandemic and the overdose public health emergency. The closure or reduction of community services people rely on after release such as treatment centres and shelters has exacerbated the risks of poor health outcomes and harms. This paper aims to learn from peer health mentors (PHM) about changes to their work during overlapping health emergencies, as well as barriers and opportunities to support people leaving prison in this context.

The Unlocking the Gates (UTG) Peer Health Mentoring Program supports people leaving prison in British Columbia during the first three days after release. The authors conducted two focus groups with PHM over video conference in May 2020. Focus groups were recorded and transcribed, and themes were iteratively developed using narrative thematic analysis.

The findings highlighted the importance of peer health mentorship for people leaving prisons. PHM discussed increased opportunities for collaboration, ways the pandemic has changed how they are able to provide support, and how PHM are able to remain responsive and flexible to meet client needs. Additionally, PHM illuminated ways that COVID-19 has exacerbated existing barriers and identified specific actions needed to support client health, including increased housing and recovery beds, and tools for social and emotional well-being.

This study contributes to our understanding of peer health mentorship during the COVID-19 pandemic from the perspective of mentors. PHM expertise can support release planning, improved health and well-being of people leaving prison and facilitate policy-supported pandemic responses.