bluuebunny/crossref_metadata_2025_split huggingface dataset:
Illegitimate tasks: obstacles to trans equality at work
Authors: García Johnson Carolina Pía , Otto Kathleen 
Published: August 2021

Purpose
This study aims to explore the relationship between the reported frequency of illegitimate tasks undertaken at work (FREQIT) and gender identity among cisgender individuals and persons with a (?) transgender or gender non-conforming (TGNC) identity.

Design/methodology/approach
This research combines an experimental approach with a field-study. Study 1 contained a vignette experiment where participants reported their likelihood to assign illegitimate tasks (IT) to either a cisgender or a TGNC employee. Study 2 measured perceptions of tasks-illegitimacy (PERTI), FREQIT, perceptions of organisational gender climate (PGC), burnout and intention to quit among a sample of cisgender and TGNC participants.

Findings
In Study 1, individuals in a supervisory position were more likely to assign IT to TGNC than cisgender employees. In Study 2, gender identity influenced burnout, intentions to quit and PGC, serially mediated by PERTI and FREQIT. The results from Study 2 did not support the initial model, which proposed that lower PERTI would lead TGNC employees to report a higher FREQIT, leading to lower occupational well-being scores. Instead, TGNC participants’ burnout, intention to quit and PGC scores improved as a consequence of their lower PERTI. However, when comparing cisgender and TGNC individuals, the latter presented higher levels of burnout, intentions to quit and lower PGC scores.

Originality/value
This is the first study measuring the effects of IT on TGNC individuals’ occupational well-being. It underscores the importance to reduce cisgender biases and transphobia and to address IT as obstacles to trans equality in the workplace.
The transition of a socio-technical system to a smart grid: illustrated with the Indian electricity network
Authors: Kompella Lakshminarayana 
Published: August 2021

Purpose
This paper aims to explain transitions in a socio-technical system characterized by non-economic entities that influence economic activity, i.e. embeddedness and coalitions. The selected socio-technical system is an Indian electric network with an interventionist policy. Its embeddedness and coalitions drive the transition. The insights from such analysis expand socio-technical transition theory and provide valuable insights to practitioners in their policymaking.

Design/methodology/approach
The authors need to observe the effects of non-economic institutions in their setting. Moreover, in India, the regional policies influence decision-making; therefore, selected two Indian states. The two Indian states, along with their non-economic entities, provided diverse analytic and heuristic views.

Findings
The findings show that coalitions, with their embeddedness in the absence of any mediating policy systems, act as external pressures and influence innovation and the socio-technical system’s transition trajectory. Their coalitions’ embeddedness follows a shaping, not selection logic. Thereby influence innovations in cumulating as stable designs. Such an approach provides benefits in the short-term but not in the long-term.

Research limitations/implications
The study selected two states and examined two of the four trajectories. By considering other states, the authors can obtain more renewable energy investments and further insights into the transformational trajectory.

Practical implications
The study highlights the coalition dynamics specific to the Indian electric power network and its transition trajectories. The non-economic entities influenced transition trajectories, innovation and policymaking of the socio-technical system.

Originality/value
The study expands the socio-technical transition theory by including embeddedness. The embeddedness brings a shaping logic instead of a selection logic.
Unlocking the investment impact of biomass energy utilization on environmental degradation for an isolated island
Authors: Gyamfi Bright Akwasi , Q. Agozie Divine , A. Bein Murad , Bekun Festus Victor , Fatai Adedoyin Festus 
Published: August 2021

Purpose
Discussions on environment-friendly production connected with the concerns of growing biomass emissions have gained much attention. In this regard, this study aims to explore the issue of biomass energy consumption and its related emission effects on the economic and environmental well-being of the economy of Cyprus.

Design/methodology/approach
This study sources time series data on specific variables from the Global Material Flow and the World Bank’s World Development Indicators (WDI, 2020) between 1990 and 2016. The Robust least square (ROB-L2) in conjunction with Pesaran autoregressive distributed lag (ARDL) methodology analysis techniques was used in addition to the Granger causality tests to examine the direction of causality flow between the variables under consideration.

Findings
The results indicate that biomass energy usage in the long run reduces pollution and negatively correlates with CO2 emissions level. Also, the decline of emission is influenced by increased foreign direct investment (FDI), thus, activities of foreign investors contribute to combating emission in the country. According to empirical results, non-renewable energy consumption showed both positive and negative influences on increased emission level, whereas economic growth is increasing carbon dioxide emission for the case of Cyprus.

Originality/value
This study applies current reliable data that offers renewed insights and sheds light on the state of affairs on biomass utilization from a developing country perspective. Additionally, it extends the discourse on the impact of biomass utilization on CO2 emissions by considering the impact of FDI, trade flow and energy consumption in a carbon-income function built on the liner version of the environmental Kuznets curve hypothesis. Although this is by no means exhaustive, the study pioneers the discourse on how FDI with biomass utilization among other relevant variables influences carbon dioxide emission.
Evolution of artificial intelligence and its impact on human rights: from sociolegal perspective
Authors: Chatterjee Sheshadri , N.S. Sreenivasulu , Hussain Zahid 
Published: August 2021

Purpose
The applications of artificial intelligence (AI) in different sectors have become agendas for discussions in the highest circle of experts. The applications of AI can help society and can harm society even by jeopardizing human rights. The purpose of this study is to examine the evolution of AI and its impacts on human rights from social and legal perspectives.

Design/methodology/approach
With the help of studies of literature and different other AI and human rights-related reports, this study has taken an attempt to provide a comprehensive and executable framework to address these challenges contemplated to occur due to the increase in usage of different AI applications in the context of human rights.

Findings
This study finds out how different AI applications could help society and harm society. It also highlighted different legal issues and associated complexity arising due to the advancement of AI technology. Finally, the study also provided few recommendations to the governments, private enterprises and non-governmental organizations on the usage of different AI applications in their organizations.

Research limitations/implications
This study mostly deals with the legal, social and business-related issues arising due to the advancement of AI technology. The study does not penetrate the technological aspects and algorithms used in AI applications. Policymakers, government agencies and private entities, as well as practitioners could take the help of the recommendations provided in this study to formulate appropriate regulations to control the usage of AI technology and its applications.

Originality/value
This study provides a comprehensive view of the emergence of AI technology and its implication on human rights. There are only a few studies that examine AI and related human rights issues from social, legal and business perspectives. Thus, this study is claimed to be a unique study. Also, this study provides valuable inputs to the government agencies, policymakers and practitioners about the need to formulate a comprehensive regulation to control the usage of AI technology which is also another unique contribution of this study.
Job satisfaction and leadership behavior brief measures: a development and validation study
Authors: Acosta-Prado Julio César , Tafur-Mendoza Arnold Alejandro , Zárate-Torres Rodrigo Arturo , Pautt-Torres Geli Mercedes 
Published: August 2021

Purpose
Job satisfaction and leadership behavior are recognized by the organizational world as fundamental elements that influence the overall effectiveness of a company. However, as the first step for an adequate intervention on any of these variables, it is the evaluation. The purpose of this paper is to develop and validate two brief measures on job satisfaction and leadership behavior.

Design/methodology/approach
The sample was made up of 246 workers located in Bogota, Colombia. The study was an instrumental research. To collect validity evidence, the internal structure and the relationship with other variables were used. For the evaluation of equity, the differential item functioning was analyzed according to the sex of the participants. Reliability was estimated through the ordinal omega coefficient.

Findings
Both brief measures presented a unifactorial structure, where job satisfaction was measured by five items and leadership behavior by four items. On the other hand, only one item of leadership behavior showed differential item functioning; however, its magnitude was trivial. Also, convergent and discriminant evidence was provided for both measures, and the reliability levels were adequate.

Originality/value
The measures developed represents an effort to briefly measure job satisfaction and leadership behavior. Likewise, it constitutes two of the few instruments to measure job satisfaction and leadership behavior in Latin American, representing a good alternative for the measurement of the referred constructs in an organizational context.
Coopetition in social entrepreneurship: a strategy for social value devolution
Authors: Nascimento Leandro da Silva , da Costa Júnior Júlio César , Salazar Viviane Santos , Chim-Miki Adriana Fumi 
Published: August 2021

PurposeCoopetition is a well-studied phenomenon in traditional enterprises. However, it lacks deepening in the social sphere, specifically on hybrid organizations (social and commercial goals). This paper analyzes the configuration of coopetition strategies in social enterprises and how these strategies can improve social value devolution.Design/methodology/approachThe authors conducted a multicase study with Brazilian social enterprises and a social incubator. Semistructured interviews with founders of the social enterprises and the president of the incubator were the primary sources of evidence, supported by observations and secondary data.FindingsThe authors identified four main findings: (1) the social incubator induces coopetition among social enterprises; (2) coopetition is necessary to improve market performance; (3) coopetition is a natural strategy resulting from the activity of the social enterprise; (4) the behavior and context of social enterprises generate a new framework for coopetition formation. This framework comprises three stages of value: a social cooperation level to co-creation of value; second, a social competition level to the appropriation of value; and the third coopetition-balanced level to social value devolution.Originality/valueThe authors advance knowledge on coopetition in an exciting, underexplored context, social entrepreneurship. The authors highlight that the coopetition nature and outcome in social enterprises have specificities compared to traditional businesses. The authors also improve the understanding of social value devolution based on simultaneous cooperation and competition among small social enterprises, allowing theoretical and practical implications. Thus, they advance the recurring discussion in coopetition literature beyond the generation and appropriation of value.
Research perspective on energy-efficient protocols in IoT: emerging development of green IoT
Authors: Tupe Umakant L. , Babar Sachin D. , Kadam Sonali P. , Mahalle Parikshit N. 
Published: August 2021

PurposeInternet of Things (IoT) is an up-and-coming conception that intends to link multiple devices with each other. The aim of this study is to provide a significant analysis of Green IoT. The IoT devices sense, gather and send out significant data from their ambiance. This exchange of huge data among billions of devices demands enormous energy. Green IoT visualizes the concept of minimizing the energy consumption of IoT devices and keeping the environment safe.Design/methodology/approachThis paper attempts to analyze diverse techniques associated with energy-efficient protocols in green IoT pertaining to machine-to-machine (M2M) communication. Here, it reviews 73 research papers and states a significant analysis. Initially, the analysis focuses on different contributions related to green energy constraints, especially energy efficiency, and different hierarchical routing protocols. Moreover, the contributions of different optimization algorithms in different state-of-the-art works are also observed and reviewed. Later the performance measures computed in entire contributions along with the energy constraints are also checked to validate the effectiveness of entire contributions. As the number of contributions to energy-efficient protocols in IoT is low, the research gap will focus on the development of intelligent energy-efficient protocols to build up green IoT.FindingsThe analysis was mainly focused on the green energy constraints and the different robust protocols and also gives information on a few powerful optimization algorithms. The parameters considered by the previous research works for improving the performance were also analyzed in this paper to get an idea for future works. Finally, the paper gives some brief description of the research gaps and challenges for future consideration that helps during the development of an energy-efficient green IoT pertaining to M2M communication.Originality/valueTo the best of the authors’ knowledge, this is the first work that reviews 65 research papers and states the significant analysis of green IoT.
Context–aware assistive driving: an overview of techniques for mitigating the risks of driver in real-time driving environment
Authors: Gite Shilpa , Kotecha Ketan , Ghinea Gheorghita 
Published: August 2021

Purpose
This study aims to analyze driver risks in the driving environment. A complete analysis of context aware assistive driving techniques. Context awareness in assistive driving by probabilistic modeling techniques. Advanced techniques using Spatio-temporal techniques, computer vision and deep learning techniques.

Design/methodology/approach
Autonomous vehicles have been aimed to increase driver safety by introducing vehicle control from the driver to Advanced Driver Assistance Systems (ADAS). The core objective of these systems is to cut down on road accidents by helping the user in various ways. Early anticipation of a particular action would give a prior benefit to the driver to successfully handle the dangers on the road. In this paper, the advancements that have taken place in the use of multi-modal machine learning for assistive driving systems are surveyed. The aim is to help elucidate the recent progress and techniques in the field while also identifying the scope for further research and improvement. The authors take an overview of context-aware driver assistance systems that alert drivers in case of maneuvers by taking advantage of multi-modal human processing to better safety and drivability.

Findings
There has been a huge improvement and investment in ADAS being a key concept for road safety. In such applications, data is processed and information is extracted from multiple data sources, thus requiring training of machine learning algorithms in a multi-modal style. The domain is fast gaining traction owing to its applications across multiple disciplines with crucial gains.

Research limitations/implications
The research is focused on deep learning and computer vision-based techniques to generate a context for assistive driving and it would definitely adopt by the ADAS manufacturers.

Social implications
As context-aware assistive driving would work in real-time and it would save the lives of many drivers, pedestrians.

Originality/value
This paper provides an understanding of context-aware deep learning frameworks for assistive driving. The research is mainly focused on deep learning and computer vision-based techniques to generate a context for assistive driving. It incorporates the latest state-of-the-art techniques using suitable driving context and the driver is alerted. Many automobile manufacturing companies and researchers would refer to this study for their enhancements.
Startups in the supply chain ecosystem: an organizing framework and research opportunities
Authors: Wagner Stephan M. 
Published: August 2021

PurposeStartups are associated with innovation, emerging technologies, digitalization and disruptive business models. This article aims to provide a better understanding of startups in logistics and supply chain management, organizes the contemporary discussion around startups in the supply chain ecosystem and outlines opportunities for future research.Design/methodology/approachThis study draws on the prior supply chain, logistics and entrepreneurship literature and discusses key themes along the six identified startup issues. Furthermore, it proposes several perspectives and theories for grounding future research.FindingsThis study discusses the roles and success factors of startups in the supply chain ecosystem. It lays out how startups need to organize their own supply chains, how supply chain management (SCM) startups incubate and accelerate their ventures, the financing of SCM startups, as well as their positions as service providers, suppliers and customers.Originality/valueThis research brings together the sparse and dispersed literature on startups in the supply chain ecosystem, motivating scholars to increase the involvement of startups as important stakeholders in SCM research.
Uncovering hidden human capital in uncertain times by exploring strategic resources in Spanish wineries
Authors: Martín-Hidalgo Fernando A. , Pérez-Luño Ana 
Published: August 2021

Purpose
The purpose of this paper is to explore the continuous identification of tangible and intangible strategic resources needed to achieve competitive advantages in uncertain times in Spanish wineries, highlighting the critical value of human capital.

Design/methodology/approach
By means of a case study of a Spanish Sherry winery theoretically based on the resource-based view (RBV) of the firm, the paper focuses on the influence of environmental uncertainty on firms’ strategic resources and the need for in-depth knowledge. Direct participation and experience in the business have allowed access to data for longitudinal exploratory analysis.

Findings
Human capital, especially managers’ knowledge and experience, has been the key to the survival and success of the company analysed, throughout its history.

Practical implications
The paper guides managers, especially in microenterprises and SMEs, on the inclusion among the firm’s strategic resources of a part of their own human capital that is generally not considered.

Originality/value
This paper contributes to the RBV and self-reflection theory by demonstrating the value of human capital in a small family business under extremely uncertain times.
Mapping the research on museums and the public sphere: a scoping review
Authors: Vårheim Andreas , Skare Roswitha 
Published: August 2021

PurposeIn museum research, museums are held as vital in maintaining the public sphere. This scoping review takes stock of the present status of museum–public sphere research by providing an overview of the existing literature as a point of departure for future research. In short, it maps the research aims, theoretical concepts, research methods and findings within the field and identifies research gaps.Design/methodology/approachA scoping review methodology is used to provide a knowledge synthesis of the museum–public sphere literature. This approach is instrumental for researching multi-disciplinary, fragmented or underdeveloped research fields. Reviews can help identify otherwise easily overlooked gaps in the research literature and are an essential tool.FindingsOverwhelmingly, the published literature consists of case studies, some of which are theoretically ambitious. Still, cases are selected without explicit goals regarding analytical or theoretical generalization, and the studies are not placed within a theory-building framework. Moreover, the museum–public sphere research primarily focuses on museums in the core Anglosphere countries and is conducted by researchers affiliated with institutions in those countries. The museum–community relationship is a common research theme addressing engagement with the public through either visitor participation or community participation.Originality/valueThis is the first published scoping review or systematically conducted review and knowledge synthesis of the museum–public sphere research literature to our knowledge. The article finds and discusses a range of research gaps that need to be addressed theoretically and empirically.