bluuebunny/crossref_metadata_2025_split huggingface dataset:
Organic pioneers and the sustainability transformation of the German food market: a politically structuring actor perspective
Authors: Stöhr Johanna , Herzig Christian 
Published: April 2022

PurposeThis paper examines the socio-ecological co-evolution and transformation of organic pioneers and the organic food market from a politically structuring actor perspective. It aims to identify strategies and activities used to contribute to the change of structures in the organic market and how the companies, in turn, reacted to the structural influence of the changing environment to position their company successfully in the market.Design/methodology/approachThis study is based on interviews with four managing directors who were responsible over several decades for the strategic corporate management of the pioneer companies they founded as (or converted to) organic. Content analysis was used to analyse the data.FindingsStrategic challenges regarding building up, maintaining and using resources, shaping actor constellations, and professionalising management are explained. The analysis demonstrates that also small pioneers have the possibilities and scope to influence and change markets and structures.Originality/valueThe results are significant for developing sustainable transformation strategies for markets, considering the interaction of the micro and meso-levels over time and the role of small businesses that might be struggling with growth and loss of values. The study answers recent calls in the literature to empirically investigate sustainability transformations from a practice perspective and gain insights into the roles of corporate actors.
An Argentine ant system algorithm for partial set covering problem
Authors: Liu Xiaofan , Zhou Yupeng , Yin Minghao , Lv Shuai 
Published: April 2022

PurposeThe paper aims to provide an efficient meta-heuristic algorithm to solve the partial set covering problem (PSCP). With rich application scenarios, the PSCP is a fascinating and well-known non-deterministic polynomial (NP)-hard problem whose goal is to cover at least k elements with as few subsets as possible.Design/methodology/approachIn this work, the authors present a novel variant of the ant colony optimization (ACO) algorithm, called Argentine ant system (AAS), to deal with the PSCP. The developed AAS is an integrated system of different populations that use the same pheromone to communicate. Moreover, an effective local search framework with the relaxed configuration checking (RCC) and the volatilization-fixed weight mechanism is proposed to improve the exploitation of the algorithm.FindingsA detailed experimental evaluation of 75 instances reveals that the proposed algorithm outperforms the competitors in terms of the quality of the optimal solutions. Also, the performance of AAS gradually improves with the growing instance size, which shows the potential in handling complex practical scenarios. Finally, the designed components of AAS are experimentally proved to be beneficial to the whole framework. Finally, the key components in AAS have been demonstrated.Originality/valueAt present, there is no heuristic method to solve this problem. The authors present the first implementation of heuristic algorithm for solving PSCP and provide competitive solutions.
A comprehensive risk assessment model based on a fuzzy synthetic evaluation approach for green building projects: the case of Vietnam
Authors: Nguyen Hung Duy , Macchion Laura 
Published: April 2022

PurposeRisks in implementing green building (GB) projects have emerged as a significant obstacle for GB development, especially in developing countries. In recent years, both academics and construction practitioners have paid considerable attention to the risks associated with GB. In this study, the authors aimed to create a comprehensive risk assessment model that considers three crucial risk features: impact level, probability of occurrence and risk manageability.Design/methodology/approachIn the research, authors adopted the mean scoring and fuzzy synthetic evaluation method to assess GB risks. Based on expert assessments, this model can determine the significance of risk factors, risk groups and overall risk. Notably, this research applied the proposed model to assess GB risks in Vietnam by surveying 58 GB experienced professionals.FindingsThe findings revealed that GB risks are relatively high in Vietnam, implying that risk management is essential for GB projects to succeed. The results also showed that “lack of experience of GB designers” is the most critical factor, and “human resources risk in the design phase” is the top crucial risk group.Originality/valueThis study contributes a novel and practical model to help practitioners assess risks in GB projects. In addition, this research offers detailed GB risk evaluations in Vietnam and thus could be a valuable reference for construction practitioners and future studies.
Impact of ambidextrous human resource practices on employee innovation performance: the roles of inclusive leadership and psychological safety
Authors: Zhao Fuqiang , Hu Wei , Ahmed Fawad , Huang Haoyu 
Published: April 2022

PurposeHuman resource practices are transforming at a varying pace for different businesses to meet the increasingly intensified external challenges. The pursuit of innovation while balancing the tensions between flexibility and efficiency has become a core challenge for survival in this globally competitive era. The literature identifies ambidexterity as a realistic choice to manage these tensions during transformation towards diversified and innovative human resource practices. Based on social exchange theory (SET), this study explores the impact of ambidextrous human resource practices (AHRPs) on organization members' innovation performance while examining the mediating effect of psychological safety.Design/methodology/approachData were collected for this cross-sectional study in three waves, and the final sample included 788 employees from 32 companies across different industries in China.FindingsThe results of data analysis indicate support for all the hypothesized relationships. AHRPs positively affect employee innovation performance; employee psychological safety mediates this relationship; inclusive leadership moderates the direct effect of AHRPs on employee psychological safety and the indirect effect of AHRPs on employee innovative performance through psychological safety. Theoretical and practical implications of the study are also presented.Originality/valueThis study examines AHRPs’ influence on employee innovation performance mediated by psychological safety and the moderating role of inclusive leadership in the above relationship to clarify the boundary conditions of AHRPs' effect on innovation performance.
How do non experts think about cyber attack consequences?
Authors: Jones Keith S. , Lodinger Natalie R. , Widlus Benjamin P. , Siami Namin Akbar , Maw Emily , Armstrong Miriam E. 
Published: April 2022

Purpose
Nonexperts do not always follow the advice in cybersecurity warning messages. To increase compliance, it is recommended that warning messages use nontechnical language, describe how the cyberattack will affect the user personally and do so in a way that aligns with how the user thinks about cyberattacks. Implementing those recommendations requires an understanding of how nonexperts think about cyberattack consequences. Unfortunately, research has yet to reveal nonexperts’ thinking about cyberattack consequences. Toward that end, the purpose of this study was to examine how nonexperts think about cyberattack consequences.

Design/methodology/approach
Nonexperts sorted cyberattack consequences based on perceived similarity and labeled each group based on the reason those grouped consequences were perceived to be similar. Participants’ labels were analyzed to understand the general themes and the specific features that are present in nonexperts’ thinking.

Findings
The results suggested participants mainly thought about cyberattack consequences in terms of what the attacker is doing and what will be affected. Further, the results suggested participants thought about certain aspects of the consequences in concrete terms and other aspects of the consequences in general terms.

Originality/value
This research illuminates how nonexperts think about cyberattack consequences. This paper also reveals what aspects of nonexperts’ thinking are more or less concrete and identifies specific terminology that can be used to describe aspects that fall into each case. Such information allows one to align warning messages to nonexperts’ thinking in more nuanced ways than would otherwise be possible.
Influence of fuel price, electricity price, fuel consumption on operating cost, generation and operating income: a case study on PLN
Authors: Adi Tri Wahyu 
Published: April 2022

Purpose
This study aims to explore the influence of fuel price, electricity price, fuel consumption (FC) on operating cost, generation and operating income (OI), and how to get the optimized electricity generation (EG) through the operation plants mix economically.

Design/methodology/approach
This study is the kind of explanatory research that describes the influence of dependent variable on the independent variable through hypothesis testing. The unit of analysis in this study is PT PLN (Persero) data, and the data is represented by the company’s statistical data from 2004 to 2019. The inferential statistical method is used to analyse the variance in this study-based or component-based with partial least square using the software of SmartPLS 3.2.9.

Findings
The fuel price of generation has a positive significant effect on the average electricity price in both models, a negative significant effect on the FC in model A and a positive significant effect in model B, a positive significant effect on the EG in the model A and negative significant effect in the model B, a positive significant effect on the operating cost of generation in both models, and a positive significant effect on OI in both models also.

Originality/value
To the best of the author’s knowledge, this paper is the first to study the influence of generation fuel price, electricity price, FC on operating cost, EG and OI of the power company and using a complex research design with partial least square.
Employee proactivity and proactive initiatives towards creativity: exploring the roles of job crafting and initiative climate
Authors: Kilic Eren , Gök Mehmet Şahin 
Published: April 2022

Purpose
Although previous research has shown that proactive initiatives are mostly related to performance- and creativity-related outcomes, the questions of “how” and “when” proactivity brings about creativity are not still fully answered. This conceptual investigation aims to explain the intervening role of job crafting by conceptualising it as a behavioural mechanism that employees engage in to increase their functioning. Besides, this study examines initiative climate as a contextual factor that shapes this intervening mechanism.

Design/methodology/approach
Drawing on job demands-resources (JD-R) theory, we put forward propositions explaining how proactive employees engage in promotive and preventive forms of job crafting, which results in creative outcomes. This study’s theoretical approach also illuminates the person–context interaction in creativity research by incorporating initiative climate.

Findings
This study underscores the behavioural and contextual determinants of the employee proactivity and creativity relationship. This study discussed how proactive employees reveal their creative potential by engaging not only in promotive job crafting but also in preventive job crafting. Besides, this study suggested that a sufficient level of initiative climate might be a prerequisite for enacting proactive behaviour.

Originality/value
This study attempted to contribute to the current understanding of employee proactivity and creativity literature by conceptually investigating this relationship from the JD-R perspective. Therefore, in addition to the predictable outcomes of promotive job crafting, we also underscored the temporal role of preventive job crafting on employee creativity. Besides, this study stressed that initiative climate reflects a crucial contextual determinant in this relationship.
Highly dispersed dialkyl dithiophosphate-functionalized ZIF-8 particles as additives of the lubricating oil
Authors: Ma Hongxia , Wu Wei , Zhang Heng , Wang Zeyun 
Published: April 2022

Purpose
This paper aims to propose a new strategy to functionalize zeolitic imidazolate frameworks (ZIF-8) to improve its dispersion stability and tribological properties in lubricating oil.

Design/methodology/approach
Dialkyl dithiophosphate polydopamine ZIF-8 (DDP@PDA@ZIF-8) was prepared via mussel-inspired chemistry and the Michael addition reaction. The tribological properties of DDP@PDA@ZIF-8 as an additive in the white oil were evaluated with four-ball friction and wear tester at different temperatures. The worn surface was analyzed using X-ray photoelectron spectrum (XPS).

Findings
The as-prepared DDP@PDA@ZIF-8 shows high dispersion stability in the white oil. Tribological results confirmed that the DDP@PDA@ZIF-8 exhibited a small wear scar diameter at 25°C. However, excellent friction reduction and anti-wear properties were observed at 75°C. The XPS result indicates that a series of tribochemical reactions occurred on the worn surface, forming the complex protective film.

Originality/value
This paper provides a study of highly dispersed ZIF-8 as lubrication additives.
Does service recovery matter? Relationships among perceived recovery justice, recovery satisfaction and customer affection and repurchase intentions: the moderating role of gender
Authors: Ali Muhammad Asghar , Ting Ding Hooi , Isha Ahmad Shahrul Nizam , Ahmad-Ur-Rehman Muhammad , Ali Shoukat 
Published: April 2022

Purpose
The purpose of this study/paper is first to determine the impact of perceived recovery justice (PRJ) (as a second-order construct) on recovery satisfaction and repurchase intentions; secondly, to investigate the mediating impact of customer affection and recovery satisfaction (on the relationship between PRJ and repurchase intentions and satisfaction and repurchase intentions, respectively); and thirdly, to examine the moderating effect of gender on the relationships between PRJ–recovery satisfaction–repurchase intentions.

Design/methodology/approach
The authors used a self-administrated survey technique for data collection. Afterwards, partial least square structural equation modelling was used to evaluate the data from 300 respondents (the automotive insurance industry in Punjab, Pakistan).

Findings
The findings show that PRJ, recovery satisfaction and customer affection positively predict repurchase intentions. PRJ also indirectly predicts repurchase intentions through the mediating effect of recovery satisfaction. Gender has a contingent effect on the PRJ–customer satisfaction–repurchase intentions relationship, such that the effect is higher for females than males. These findings have important theoretical and practical implications. To counter service failure, this study helps to draft effective strategies and policies for the insurance industry to make customers loyal patrons.

Practical implications
These findings have important theoretical and practical implications. To counter service failure, this study helps to draft effective strategies and policies for the insurance industry to make customers loyal patrons.

Originality/value
This study also tested a novel relationship, in that the authors used customer affection as a mediating factor between the satisfaction and repurchase intentions relationship. Moreover, the authors also tested the moderating role of gender in PRJ–recovery satisfaction–repurchase intentions associations.
The impact of electronic word-of-mouth management in hotel ecosystem: insights about managers' decision-making process
Authors: Berné Manero María del Carmen , Moretta Tartaglione Andrea , Russo Giuseppe , Cavacece Ylenia 
Published: April 2022

PurposeThere is a lack of research proving how electronic word-of-mouth (eWOM) is a valuable source of information in the hospitality industry for developing hotels' intellectual capital. To fill this gap, this study aims to examine hotel managers' decision-making processes regarding the acceptance and management of eWOM and its impact on the Italian hotel ecosystem.Design/methodology/approachThis work takes advantage of the previous contributions to present a hotel's decision-making process model regarding structural capital. It includes eWOM as a context variable and changes implemented as a dependent variable in a comprehensive model. The structural equation modelling applies to a database obtained through a survey addressed to Italian hotel managers.FindingsThe results show that eWOM plays an essential role in managers' motivations to explain hotel changes implementation. The hotel leverages eWOM information and interaction through structural, relational and human capital to enhance products, services and strategies.Research limitations/implicationsThis work contributes to the extant literature by providing a comprehensive framework to explain the consequences of eWOM knowledge management from the intellectual capital view in the Italian hotel ecosystem.Practical implicationsFor practitioners, this research demonstrates how hotel managers should accept and manage eWOM knowledge through intellectual capital to make determinant decisions that improve hotel performance.Originality/valueThere is a scarcity of research on modelling the acceptability and management of eWOM in the hotel ecosystem from practitioners' perspectives. This work is the first attempt to determine how eWOM knowledge management boosts hotel intellectual capital and improves service innovation and performance.
Technological innovation management through root cause prioritization
Authors: Kumarapeli Udeni , Ratnayake Vijitha , Jayawardana Thantirige Sanath Siroshana 
Published: April 2022

Purpose
Technological innovation has become a significant part of textile and apparel industries. To become distinguished from competitors, it is essential to harness the potentials of the organizations in achieving higher speeds, faster delivery times, more precise research and development processes followed by modern manufacturing techniques, lower inventory and lower costs. This paper aims to present the risk factors, root causes and their impact related to technological innovation. This uncovers deeper problems inherent to the technological innovation process while providing insight to develop a more robust risk management strategy in marking the survival and growth of the organizations in the textile and apparel trade.

Design/methodology/approach
Literature review and structured interviews with industry experts were conducted to identify the risk factors and root causes associated with technological innovations related to textile and apparel industries. The impact of root causes to the risk factors was determined through priorities, derived according to analytic network process using Super Decision software.

Findings
Impact of the root causes on risk factors take different priorities, highlighting the most alarming root causes, which contribute more to the outcome. This provides insight for a more precise decision-making on the order of prioritization of root causes in managing risks involved.

Originality/value
Findings of this research provide insight on the most influential competencies of any textile and apparel organization for a thriving innovation. Profound knowledge on risk factors, root causes and their contribution to the outcome enhances complex decision-making. This ultimately leads to “credible performances’’ of the technological innovation and optimizing the resources available, which bridges the gap that exists in the current literature.
Glassdoor best places to work: how do they work for shareholders?
Authors: Filbeck Greg , Zhao Xin 
Published: April 2022

Purpose
This research explores whether Glassdoor's annual rankings of the Best Places to Work provide meaningful information to shareholders in identifying companies with the potential for superior future performance. Because their website reaches over 64 million unique visitors monthly, Glassdoor rankings can influence trading patterns. Glassdoor’s awards offer a unique way to analyze employees' feedback as there is no self-nomination process or cost involved, differentiating it from other measures of job satisfaction such as Fortune’s Best Companies to Work For survey.

Design/methodology/approach
We compare holding period returns of the Best Companies firms to the performance of the S&P 500 index and three separately constructed matched benchmark portfolios. We calculate cumulative raw, risk-adjusted, and abnormal returns based on a buy-and-hold strategy as well as by using the Fama-French (1993) 3-factor and 4-factor models. We also analyze whether selected companies have higher performance one year after the announcement. We control for possible endogeneity problems.

Findings
We find mixed evidence regarding the superiority of the Best Company firms in holding period returns and risk-adjusted measures compared to appropriate benchmarks. Longer-term cumulative raw returns show that they have higher annual returns compared with its benchmarks. The differences are not statistically significant on a raw or risk-adjusted basis.

Research limitations/implications
The Best Companies sample is much larger than the matched sample, even with multiple matching methodologies. This difference is limited by the survey design as the employees of larger companies tend to post in Glassdoor survey. Also, since companies in the small Best Companies sample are private companies, comparing their stock performance with comparable companies is challenging.

Practical implications
Human resource management theories argue that job satisfaction results in enhanced corporate performance. However, verification of such satisfaction by a Glassdoor, as a third-party survey, does not necessarily lead to higher risk-adjusted share price performance.

Originality/value
We extend previous work that focuses on analyzing employee reviews to consider the impact of being ranked among the best companies on the survey. Second, we employ an extended set of financial performance measures to assess impact. Our analysis also employs a wider range of financial performance metrics and robustness tests.