Resource Perspective Research Articles

Atmospheric environmental resources and corporate green innovation: Blessing or curse of the weather?

Green technology innovation is an important way to realize corporate green transformation and sustainable economic development. Regional resource endowments can influence local policies and corporate innovation decisions. This paper examines whether and how atmospheric environmental resources, that is, the capacity of the atmospheric environment to accommodate and purify pollutants, have an impact on corporate green innovation. Using the data of China's A-shares listed heavily polluting firms from 2012 to 2022, we find that the atmospheric environmental resources inhibit corporate green technology innovation, indicating a “resource curse” effect. The mechanism test reveals that regional environmental resources affect corporate green technological innovation by influencing local governments' environmental protection concern, economic concern, environmental enforcement and public concern. Further analysis shows that the impact of atmospheric environmental resources on corporate green technology innovation differs before and after the Paris Agreement, and varies across different levels of financial development, industry competition, corporate characteristics, and executive traits. This paper presents a new perspective of regional atmospheric environmental resources and its impact on corporate green technology innovation, revealing the mechanisms behind corporate green innovation from an external perspective, which has implications for governmental departments and corporate environmental governance decision-making.

Determinant Factors of Enterprise Value from PBV and Tobins’Q Perspectives

One of the industrial sectors that plays an important role in efforts to improve the economy and sustainable development in the world is the mining sector. Although it has a fairly important role, this industry is faced with a challenge in managing various negative impacts that can pollute the environment and society. Conflicts that may arise are conflicts with the surrounding community caused by differences in perspective or perception of natural resources around the community. The views of investors regarding the level of company success are seen from how the enterprise value (EV) is. There is more than one way to view enterprise value, including using Price-to-Book Value (PBV) or Tobins'Q. This study aims to analyze the effects of stock prices, profitability and debt policies on enterprise value as measured from two perspectives, namely PBV and Tobins'Q in mining industry businesses listed on the IDX for the 2019-2023 period. The data analysis used is multiple linear regression. The results of this study found that stock prices, profitability and debt policies have a positive and significant effect on enterprise value as measured by PBV. Meanwhile, enterprise value measured by Tobins’Q is significantly influenced by stock prices and debt policies with a positive direction and profitability does not significantly affect enterprise value measured by Tobins’Q.

Impact of a community-based peer-led eHealth wheelchair skills training program: A randomized control trial.

To measure the effect of a community-based peer-led eHealth manual wheelchair (MWC) skills training program on community participation, wheelchair skills capacity and performance, wheelchair-specific self-efficacy, and health-related quality of life. Randomized control trial with wait-list control group. Community. Community-dwelling MWC users 18 year of age or older who propel using both arms (N=50). The 4-week MWC skills training intervention was comprised of three virtual sessions with a peer trainer and a self-directed eHealth home training app delivered via a computer tablet. Peer trainers were experienced MWC users who had received structured training for intervention delivery. Participants were provided with required equipment and encouraged to involve a care provider during home training. Peer trainers tailored the program to life activities participants identified as relevant. The control group were placed on a 4-week no intervention waitlist (reflecting typical clinical practice) and after post-intervention data collection were offered the training program. The primary outcome was community participation measured by the Wheelchair Outcome Measure (WhOM). Secondary outcomes included skill capacity and performance on the Wheelchair Skills Test-Questionnaire (WST_Q), self-efficacy on the Wheelchair Use Confidence Scale (WUCS); and health-related quality of life on the Short-Form 36 Health Survey Enabled (SF-36E). The intention-to-treat (n=50) primary analysis revealed a statistically significant Time*Allocation interaction for community participation (mean p = 0.046 and ηp2 = 0.09), increasing by 24%. Per-protocol (n=42) secondary analyses indicated significant improvements of 16.1% in the skill capacity (p=0.004), 11.4% in self-efficacy (p=0.017), and 7% relative improvement in quality of life (p=0.012). The findings indicate that an eHealth MWC training program incorporating peer and tablet app training components was effective in improving community participation, skill capacity, self-efficacy, and quality of life for a wide range of MWC users. An eHealth delivery format offers considerable potential from both an access and resource perspective.

The effect of human-robot collaboration on frontline employees’ service performance: A resource perspective

Although human-robot collaboration (HRC) is increasingly becoming prevalent in the service industry, the impact of HRC on the employees’ work outcomes has been relatively underexplored. Drawing upon the conservation of resources theory, we aim to examine whether, how, and when HRC can enhance service performance of frontline employees (FLEs). To this end, we conducted an experimental study (Study 1) and a multi-wave survey (Study 2). We theorize that HRC can cognitively bolster FLEs’ confidence to undertake supplementary tasks (i.e., role breadth self-efficacy) and emotionally elicit pleasant feelings (i.e., positive emotions), which, in turn, enhances service performance. Our results support this view. Notably, our findings also reveal that employees’ trust in robots moderates the positive emotions mediated indirect effect of HRC on service performance. However, it does not significantly moderate the role breadth self-efficacy mediated indirect effect on service performance. Theoretical implications and practical recommendations are discussed.

Designing an Artificial Intelligence Maturity Model for Human Resources (HR-AIMM)

Artificial intelligence (AI) has the potential to change the world of work radically. Wherever information processing is involved, AI can be integrated into processes with added value. From the perspective of Human Resource (HR) management, this implies three things: first, business models and performance processes in the company will undergo change; second, employee requirements will change; and third, HR processes will change. While the literature describes various AI maturity models, there has been no dedicated consideration of HR management. This article, therefore, aims to identify relevant influencing factors for an AI-orientated approach to HR management and to describe these in more detail using maturity levels in a Human Resources Artificial Intelligence Maturity Model (HR-AIMM). The resulting HR-AIMM consists of eleven dimensions. These include anchoring the AI topic in the corporate and HR strategy, its use in selected HR processes, considering ethical, data-related, and infrastructural principles, and organisational, cultural, and competence-related anchoring. The characteristics of these factors enable the identification of four maturity levels for using AI in HR management: from a curious start to the level of holistic integration. Our framework supports researchers and companies in understanding and evaluating the factors influencing the professional application of AI in HR management.

Linking leader boundary spanning to task performance and its boundary conditions: a conservation of resources perspective

PurposeDrawing on conservation of resources (COR) theory, this research aims to advance the current understanding of leader boundary spanning by examining its effect on task performance, psychological mechanism and boundary conditions.Design/methodology/approachThe empirical data were gathered by a paper-and-pencil survey from 155 employee-supervisor dyads working in various industries.FindingsOur results indicated that leader boundary spanning is positively related to task performance, mediated by employees’ enhanced self-efficacy. Moreover, the results indicated that the positive effect of leader boundary spanning on task performance via enhanced self-efficacy is strengthened when the level of abusive supervision is low or when the level of an employee’s emotional exhaustion is high.Practical implicationsOrganizations should find a way to facilitate leaders to engage in boundary spanning behaviors since a leader’s boundary spanning behavior enhances task performance through employee’s self-efficacy. Additionally, it is crucial to establish policies and provide training sessions to reduce the occurrence of abusive supervision in the workplace.Originality/valueThis study gives insights into the current literature by uncovering whether, how and under what circumstances boundary spanning leaders exert influences on task performance via employees’ self-efficacy. Our results showed that the positive effect of leader boundary spanning is likely to be strengthened when boundary spanners do not abuse their employees or when employees are in need of additional resources.

A novel hybrid multi-criteria decision-making approach for solar photovoltaic power plant site selection based on the quantity and quality matching of resource-demand

Solar photovoltaic has received wide attention and is regarded as the most promising power generation technology. The success of SPV often depends on the site selection, so this study proposes a novel hybrid multi-criteria decision-making(MCDM) technique based on the matching of resource and demand to evaluate and select the optimal site. This technique emphasizes the important role of resource and demand matching in SPV site selection, and its core is to develop a matching model, which takes into account both the matching quantity and matching quality. The technique includes three modules: the selection of criteria system, the determination of criteria weight and the establishment of matching model. The criteria system is constructed from the perspective of resource and demand by highlighting the resource criteria such as grid conditions, absorption capacity, and the demand criteria such as energy conservation, energy security and transition. Based on the variable precision rough number modified by inverse prospect value function, developing a subjective weighting method. From the matching perspective, proposing a novel siting integration decision-making model based on WLC and angle cosine match(ACM), which enriches the siting perspective. The model outperforms conventional methods, as verified by performance application and comparison on Beijing SPV site selection. The proposed method can better denote the criteria importance and improve the problem of inaccurate prioritization caused by the imperfect processing perspective of criteria and methods. Additionally, the model’s adaptability under different weight conditions is demonstrated by evaluating its spatial range and sensitivity. In the application of SPV plant site in Beijing, the method effectively serves the renewable energy siting, and concludes that Shunyi is the priority alternative for SPV development.

How coaching project manager influence construction project team members’ job burnout: a conservation of resources perspective

PurposeConstruction project team members’ job burnout damages the physical health of members and also have a negative effect on project performance. This study primarily aims to empirically examine the relationship between coaching project managers (CPMs) and team members’ job burnout. Moreover, this research examines the cross-level mediating effect of team caring ethical climate and team members’ team-based self-esteem (TBSE) on the relationship between the two aspects.Design/methodology/approachThis study uses conservation of resources theory as basis to construct a cross-level research model of the effect of CPMs on team members’ job burnout. Thereafter, regression analysis was performed on a sample of 431 team members from 83 teams.FindingsAccording to the empirical results, the authors found that, in construction project teams, first, CPMs were negatively correlated with team members’ job burnout and positively correlated with caring ethical climate and team members’ TBSE. Second, caring ethical climate and team members’ TBSE played a cross-level mediating role between CPMs and team members’ job burnout. In addition, caring ethical climate played a cross-level moderating role in the negative relationship between team members’ TBSE and job burnout.Originality/valueThis study introduces coaching leadership, an important leadership type, into the research background of construction project teams, thereby theoretically enriching the research on construction project team leadership. Moreover, by further expanding the research on the consequences of coaching leadership to the field of job burnout, this study also enriches the theoretical results of the research on the consequences of coaching leadership.

Towards sustainability: A novel process for recycling vanadium and molybdenum from waste hydrogenation catalysts

Waste hydrogenation catalysts are usually listed as hazardous wastes due to their high heavy metal contents. These heavy metals such as molybdenum, vanadium, nickel, and cobalt will affect environment, human health, and wildlife. Moreover, the waste hydrogenation catalysts represent a valuable secondary resource, containing a significant quantity of valuable metals, recycling them will bring economic benefits, alleviate the need for mining investment, and reduce the environmental impact of mining. However, the current process presents many environmental and economic challenges, including sulfur dioxide pollution, more reagent consumption, and complicated operation. As a result, a new method is necessary to alleviate these drawbacks. In this work, a novel calcification roasting-acid leaching method was proposed to recycle the waste catalyst. The calcification roasting process was studied focally and systematically, including thermodynamics, reaction mechanisms, and phase transformation. The behaviors of Mo, V, Ni, and Al in the leaching process were studied, and influence factors, including roasting temperature, calcium additives feeding, acid concentration, leaching temperature, leaching time, liquid-solid ratio, and particle size were explored. Under the optimal conditions, the leaching efficiency for Mo and V reached 98.02 % and 97.28 % respectively. In contrast, there is no Ni and Al in the post-leaching solution, demonstrating excellent leaching ability for Mo and V, and robust leaching selectivity. Moreover, this novel method shows environmentally friendly properties, as it reduces SO2 generation. From the perspectives of resources, environment, and economy, this novel approach shows a competitive advantage and bright prospect.

Effects of public data open on performance of government functions in China: the roles of digital economy and market economic system adopting the perspective of resource- based view

IntroductionThe emergence of the digital economy necessitates effective government guidance and regulation of enterprise behavior to ensure fair market competition. Understanding how public data open can enhance the performance of government functions is crucial, particularly in understanding the roles of key factors like the development of the digital economy and the current state of the market economic system. This study explores the effects of public data open on performance of government functions from a resource-based perspective.MethodsUsing a dataset of 237 Chinese cities from 2017 to 2021, we employed a two-way fixed-effects model to investigate the mechanisms. This includes its interaction with the development of the digital economy and the moderating role of the market economic system.ResultsThe findings reveal that public data open significantly improves performance of government functions, as validated by a multi-temporal DID model and various robustness checks. Notably, the development of the digital economy mediates this relationship, while the market economic system has a strong positive moderating effect. The effects of public data open on performance of government functions also exhibits significant variability.DiscussionRecommendations include coordinating regional public data open resource planning and allocation, enhancing public data open rules and objectives by region, and promoting synergy between public data open, development of digital economy and the market economic system.

Quantifying vertical borehole heat exchanger sustainability from a geothermal resource perspective in the UK

Low-temperature geothermal energy is viewed as a renewable resource that could contribute to the decarbonization of residential heating in the UK. Here, we constrain the geothermal potential of the shallow subsurface to provide the heating requirements of a typical single-family house via a vertical borehole heat exchanger (BHE), to provide a preliminary framework for the heat resource licensing of such systems. Through analytical and numerical models, we calculate the heat balance for a typical house with a garden located in a Carboniferous sedimentary basin, which represents a large proportion of the UK land mass and the regions where energy poverty is more common. Neglecting the heat recharge via groundwater flow, our results indicate that geothermal, solar heat flux and radiogenic heat production can only replenish up to 5% of the heat extracted annually by a 100 m-long BHE in heat extraction-only mode. The lack of natural recharge causes the continuous expansion of the thermal footprint at an average rate of 18 m 2 a −1 over 30 years, considering a ground thermal conductivity of 2.2 W m −1 °C −1 , with the area cooled by 1°C extending beyond the current minimum BHE spacing guidelines of 6 m. In Scotland, reinjecting c . 35% of the yearly heat requirements, which could be accomplished through borehole thermal energy storage, is shown to safeguard against resource over-exploitation and interference risks between neighbouring users in the majority of the high-demand areas. In view of a large deployment of BHEs, it is crucial to incorporate such reinjection strategies into a regulatory framework to ensure a resilient and sustainable utilization of shallow geothermal resources.

Online Linearized Confidence‐Weighted Learning on a Budget

Online learning aims to solve a sequence of consecutive prediction tasks by leveraging the knowledge gained from previous tasks. Linearized confidence‐weighted (LCW) learning is the first online learning algorithm introducing the concept of weight confidence into the prediction model through distributions over weights. It provides the flexibility for weights to update their values at different scales. The kernel trick in machine learning can be applied to LCW for a better prediction performance. However, the kernel‐based LCW algorithm is subject to the curse of kernelization which makes it vulnerable to the unlimited growth of the prediction model in runtime and memory consumption. In this study, we present the budgeted LCW (BLCW) algorithm which puts a limit on the growth by a predefined budget with optimization. Consequently, BLCW performs the LCW update and then reduces the information loss by projection. Based on the resource perspective that reinterprets LCW in terms of resources and utilization degrees, we demonstrated that BLCW approximates the kernel‐based LCW algorithm. We evaluate four budget maintenance strategies and suggest that the mean removal is the most stable. By various numerical experiments on real datasets, we demonstrate that BLCW performs competitively and effectively when compared to leading budgeted online algorithms.

Fresh as a daisy: Within‐person associations between sleep, vitality, and self‐ and other‐rated job performance

SummaryFrom a resource perspective, employees' sleep quality, sleep duration, and feelings of vitality are believed to predict important work‐related outcomes. However, many studies ignore the dynamic nature of the constructs or rely primarily on self‐reported data. Including both self‐ and other‐ratings of daily job performance, we examined the extent to which daily sleep quality and duration predict daily job performance, and whether these relationships are mediated by vitality. Student teachers (N = 165), internship supervisors (N = 97), and students (i.e., targets; N = 69 classes) participated in an experience sampling study with morning assessments of sleep duration and quality (n = 1,762 and n = 869), and two daily assessments of vitality (n = 2,207) and performance (self‐, supervisor‐, and target‐rated; n = 2,160, n = 1,113, and n = 1,087). Multilevel path analyses suggested that 1) sleep quality but not duration predicted individuals' vitality and self‐ and target‐rated job performance, 2) vitality was positively associated with performance according to each rating source, and 3) midday vitality did not predict afternoon performance, nor did it mediate the relationship between sleep and afternoon performance. Implications for theory and practice are discussed.

Timing and experience in global markets: unraveling the impact of servitization on new manufacturing venture survival

The emergence of global competition and advances in technology have prompted manufacturing firms to reshape their competitive strategies in global markets. Servitization is an innovative strategy, which integrates services into traditional products to offer both domestic and international customers greater value added. In the context of international entrepreneurship and drawing on the resource-based view and internationalization perspectives, this study investigates the relationship between servitization and the survival of new manufacturing ventures that are engaging in global markets. In addition, it further explores whether the pre-internationalization preparation and post-internationalization experience can moderate the servitization-survival relationship from the perspectives of costs, resources, and capabilities developed in different stages. Our findings support the view that, in the context of international markets, new manufacturing ventures are more vulnerable to risk and the additional costs of servitization coupled with the uncertainty of international markets. Later entry into foreign markets and greater international experience enable manufacturing ventures to resist the hazards associated with servitization and the process of internationalization. In doing so, we contribute to an understanding of the service paradox by adopting a dynamic and processual view of internationalization.

Unethical Pro-Organizational Behavior and Unethical Pro-Family Behavior: The Roles of Work-to-Family Conflict and Work-Home Segmentation Preference

Unethical pro-organizational behavior has attracted widespread attention from practitioners and scholars. Although most previous studies have explored its antecedents, less is known about its consequences. The study focuses on analyzing and testing the mechanism and boundary conditions of the influence of employees’ unethical pro-organizational behavior on unethical pro-family behavior. To examine our conceptual model, we conducted an experiment study (Study 1) and a two-wave filed study (Study 2) in China. Hierarchical multiple regression and Bootstrap analyses were used to test our hypotheses. The results indicate that employees’ unethical pro-organizational behavior is positively related to unethical pro-family behavior, and that employees’ work-to-family conflict mediates the relationship between unethical pro-organizational behavior and unethical pro-family behavior. In addition, the relationship between unethical pro-organizational behavior and work-to-family conflict, as well as the indirect influence of unethical pro-organizational behavior on unethical pro-family behavior through work-to-family conflict, are moderated by employees’ work-home segmentation preference. These findings suggest the significance of adopting a conservation of resources perspective in comprehending the detrimental effects of unethical pro-organizational behavior. Furthermore, they offer practical insights for managers to formulate specific ethical rules and punishment systems, effectively curbing employees’ unethical behavior.

Group frames via magic states with applications to SIC-POVMs and MUBs

We connect magic (non-stabilizer) states, symmetric informationally complete positive operator valued measures (SIC-POVMs), and mutually unbiased bases (MUBs) in the context of group frames, and study their interplay. Magic states are quantum resources in the stabilizer formalism of quantum computation. SIC-POVMs and MUBs are fundamental structures in quantum information theory with many applications in quantum foundations, quantum state tomography, and quantum cryptography, etc. In this work, we study group frames constructed from some prominent magic states, and further investigate their applications. Our method exploits the orbit of discrete Heisenberg–Weyl group acting on an initial fiducial state. We quantify the distance of the group frames from SIC-POVMs and MUBs, respectively. As a simple corollary, we reproduce a complete family of MUBs of any prime dimensional system by introducing the concept of MUB fiducial states, analogous to the well-known SIC-POVM fiducial states. We present an intuitive and direct construction of MUB fiducial states via quantum T-gates, and demonstrate that for the qubit system, there are twelve MUB fiducial states, which coincide with the H-type magic states. We compare MUB fiducial states and SIC-POVM fiducial states from the perspective of magic resource for stabilizer quantum computation. We further pose the challenging issue of identifying all MUB fiducial states in general dimensions.

ТРАНСФОРМАЦІЯ СТРУКТУРИ І ЗМІСТУ КУРСУ ГЕОГРАФІЇ ВОСЬМОГО КЛАСУ ДЛЯ ЗАКЛАДІВ ЗАГАЛЬНОЇ СЕРЕДНЬОЇ ОСВІТИ

The article is focused on the analysis of the structure and content of Geography study in the 8th grades of general secondary educational institutions based on the model curriculum, developed by the team under the supervision of S. P. Zapototskyi. According to it, the content block related to the study of the population was removed from the 8th and instead transferred to the 9th grade course. Thus, the content of the course “Geography” in the 8th grade will encompass the following 4 chapters: Chapter I “Cartographic image of Ukraine”, Chapter II “Nature of Ukraine”, Chapter III “Natural Resource Management” and Chapter IV “Space – Territory – State”. Instead of the topic “Ukrainian and World Population” in the 8th grade, the inclusion of which in this course at one time was an unsuccessful experiment, two Chapters were introduced under the names “Natural Resource Management” and “Space – Territory – State”. Chapter “Natural Resource Management” logically completes the study of the nature of our state from the standpoint of the resource approach and perspectives of nature use, and “Space – Territory – State” is a kind of a transitional link to the study of Ukrainian and world social geography in the 9th grade. However, a more detailed analysis of the content of the topics included in the geography course covered in the 8th grade according to the model program offered by S. P. Zapototskyi and others, prompts to draw attention to some debatable issues and to offer author’s vision of improving the content of the educational discipline. The main suggestions concern the preservation of a typical physical and geographical approach to the study of the nature of Ukraine in Chapter II, In topic 1. of section IV. "Ukrainian state" a very important aspect of consideration is the affirmation of the idea that Ukraine is the inheritor of the state tradition of the Slavic tribe of the Ants. Another strength of the program is the project activity to establish the features of the formation of capable territorial communities formed after the decentralization reform. The main narrative to be relayed by topic 2 "Ukraine's place on the political map of the world" is that Ukraine is a sovereign European state, a candidate country for EU membership, which has to defend its independence from Russian aggression in a fair armed struggle. and some clarification of the content in Chapter III “Natural Resource Management”.

Sustainable Leadership for Employee Performance and the Moderating Roles of Family-Work Conflict and Work Pressure: The Job Demands–Resources Perspective

Sustainable Leadership for Employee Performance and the Moderating Roles of Family-Work Conflict and Work Pressure: The Job Demands–Resources Perspective

Within-Team Individual Power and Creativity: Moderating Effects of Democratic Team Leadership and Collectivistic Value

ABSTRACT Though prior research suggests that high individual power can increase individual creativity, relatively few studies have examined conditions when this positive relationship is more likely to hold. Drawing from a cognitive resource perspective and a perspective of socialized power motivation, in this study we theorize and test democratic team leadership and an individual’s collectivistic value as two moderating conditions on the relationship between an individual’s within-team individual power and his or her creativity. Using multi-source data from team members and team leaders from thirty-nine work teams, we predicted and found that within-team individual power is more positively related to individual creativity when democratic team leadership is higher. Moreover, the hypothesized positive moderating effect of democratic team leadership is stronger and more significant for individual team members with high collectivistic values. Our findings provide implications for managing employee creativity and for the responsible use of individual power in teams.

The dark side of digital external networking: A job demands–resources perspective

Digital transformation, networked value creation, and new technologies expose managers to new forms of work. In light of blurring organizational boundaries and increasing technology use, they increasingly face the challenge of digitally managing relationships with external stakeholders. The objective of this study is to provide insight into the potential adverse effects of digital external networking. Drawing on the job demands–resources model, we propose that digital external networking depletes managers' energetic resources, which may lead to an individual job performance breakdown via higher emotional exhaustion and lower work engagement. Results from a survey among 129 executives of the German Red Cross uncover and partially support this ‘dark side’ of digital external networking. Additionally, our research indicates that managers can reduce their perceived emotional exhaustion and increase work engagement by utilizing personal resources such as networking ability and digital technology commitment.