bluuebunny/crossref_metadata_2025_split huggingface dataset:
Data driven approaches for smart city planning and design: a case scenario on urban data management
Authors: Bokolo Anthony Jnr. 
Published: April 2023

Purpose
Because of the use of digital technologies in smart cities, municipalities are increasingly facing issues related to urban data management and are seeking ways to exploit these huge amounts of data for the actualization of data driven services. However, only few studies discuss challenges related to data driven strategies in smart cities. Accordingly, the purpose of this study is to present data driven approaches (architecture and model), for urban data management needed to improve smart city planning and design. The developed approaches depict how data can underpin sustainable urban development.

Design/methodology/approach
Design science research is adopted following a qualitative method to evaluate the architecture developed based on top-level design using a case data from workshops and interviews with experts involved in a smart city project.

Findings
The findings of this study from the evaluations indicate that the identified enablers are useful to support data driven services in smart cities and the developed architecture can be used to promote urban data management. More importantly, findings from this study provide guidelines to municipalities to improve data driven services for smart city planning and design.

Research limitations/implications
Feedback as qualitative data from practitioners provided evidence on how data driven strategies can be achieved in smart cities. However, the model is not validated. Hence, quantitative data is needed to further validate the enablers that influence data driven services in smart city planning and design.

Practical implications
Findings from this study offer practical insights and real-life evidence to define data driven enablers in smart cities and suggest research propositions for future studies. Additionally, this study develops a real conceptualization of data driven method for municipalities to foster open data and digital service innovation for smart city development.

Social implications
The main findings of this study suggest that data governance, interoperability, data security and risk assessment influence data driven services in smart cities. This study derives propositions based on the developed model that identifies enablers for actualization of data driven services for smart cities planning and design.

Originality/value
This study explores the enablers of data driven strategies in smart city and further developed an architecture and model that can be adopted by municipalities to structure their urban data initiatives for improving data driven services to make cities smarter. The developed model supports municipalities to manage data used from different sources to support the design of data driven services provided by different enterprises that collaborate in urban environment.
Antecedents and consequences of open innovation: a conceptual framework
Authors: Malodia Suresh , Chauhan Chetna , Jabeen Fauzia , Dhir Amandeep 
Published: April 2023

PurposeEntrepreneurship across sectors has been impacted by the paradigm of open innovation in the last few decades. Although Open Innovation is argued to impact firm performance the strategic building blocks of open innovation are not discussed in the prior literature. This study aims to conceptualize open innovation and identify the antecedents and outcomes of open innovation.Design/methodology/approachUsing a qualitative study based on open-ended essays solicited from 47 SMEs and startups based out in Europe and the USA, the authors propose an overarching conceptual framework using a theoretical sampling approach adopted to establish data saturation and data analysis was carried out using thematic coding. Market place evidence was used for triangulation of the authors’ research framework and to establish the validity of the constructs.FindingsBuilding on the entrepreneurial bricolage theory, this study proposes bricolage and Platformization of innovations as antecedents to open innovation. The study also conceptualizes open innovation by identifying three underlying dimensions for open innovation. Next, the study proposes a positive association between open innovation and firm performance. Finally, the authors discuss relevant implications with future research directions of the study.Practical implicationsThe practical implication is the development of a sustained competitive advantage enhancing framework for entrepreneurial ventures with the help of open innovation.Originality/valueWith the application of the developed framework for the entrepreneurial ventures, a set of strategic activities related to open innovation can be proposed that would help these ventures to enhance their innovation and marketing capabilities, thereby helping them with a sustained competitive advantage. The present study would also help the policymakers to frame policies that help the firms with a shift toward open innovation.
Capability matching between suppliers and customers in solution co-creation: a process-based model
Authors: Leng Yixuan , Zhao Xiaoyu 
Published: April 2023

Purpose
The purpose of this study is to examine supplier–customer capabilities in solution co-creation and how they are matched from a relational process perspective.

Design/methodology/approach
Using a qualitative approach, the authors identified 20 sets of supplier–customer capability matches by conducting in-depth interviews with 34 matched informants and retrieving suppliers’ archival data (project documents and success stories).

Findings
The authors identified 20 capability matching sets (21 supplier and 23 customer capabilities) and developed a process-based model of bilateral capabilities that match at the organizational level in solution co-creation. The authors reveal their match forms (complementarity and compatibility) and offer suggestions for future research.

Research limitations/implications
This paper is qualitative; quantitative studies are required for testing and extending the initial conclusions.

Practical implications
This study guides the supplier and customer to cultivate different capabilities at different stages of solution co-creation and alerts them to the importance of capability complementarity and compatibility.

Originality/value
To the best of the authors’ knowledge, this study is the first to introduce the bilateral perspective into dynamic capability research in the context of solution co-creation. The authors discuss the abilities the supplier and customer must possess at different stages and how they match dynamically. The analysis extends the research on solution-specific capabilities and dynamic matching, offering useful implications for solution co-creation in practice.
License is “suspended”: the impact of social sharing on curbing moral licensing
Authors: Wen Na , Hu Tao Eric 
Published: April 2023

Purpose
Despite its prevalence and serious negative impact on consumer behavior, marketing strategies and social welfare, little is known about how to effectively curb moral licensing. Drawing on research in warm-glow giving and virtue signaling, this paper aims to propose that social sharing can help alleviate the moral licensing effect; and this effect is mediated by moral self-regard and moderated by temporal distance.

Design/methodology/approach
Two experimental studies were conducted in a laboratory setting using large samples. In particular, Study 1 was designed to test the proposed main and mediation effects, and Study 2 was designed to further examine the proposed moderation effect.

Findings
Study 1 demonstrates after having shared a prior moral behavior on social media, people are more likely to engage in another moral act subsequently. This is because that sharing a prior moral behavior on social media leads to a drop in moral self-regard, which, in turn, boosts a subsequent moral intention. Study 2 further shows that after having shared a prior moral behavior on social media, when making a decision for the present, people are more likely to engage in a subsequent good deed; however, this effect is diminished when people are making such a decision for the future.

Practical implications
This work provides important implications for marketing managers and policymakers. In particular, this research suggests that social sharing can be an effective tool to encourage individuals’ consistent moral behavior so as to promote individual and collective well-being. Moreover, the findings demonstrate that temporal distance and social sharing can interact to reduce the moral licensing effect. In practice, this research contributes to the development of effective marketing strategies, particularly for those companies that aim to integrate sustainability into their business practices.

Originality/value
In contrast to previous research examining the cognitive approach to curbing moral licensing, this research explores a new, powerful behavioral approach to alleviating the moral licensing effect. Furthermore, this research consolidates previous findings on the relationship between identity signaling and self-regard, increases the scope of identity signaling research and offers a bridge between research on identity signaling and research on moral licensing. Finally, this research adds to understanding of moral licensing by showing that the moral licensing effect may vary depending on contextual factors and, therefore, is more malleable than previously thought, which opens up future research opportunities to explore when and how the moral licensing effect can be alleviated.
How boundary spanners wield influence by involving a third person: an exploratory study grounded in social control theory
Authors: Jørgensen Martin 
Published: April 2023

Purpose
Power is one of the single most critical concepts for understanding industrial relations management. Yet, despite having been subject to much scholarly attention, existing research often implicitly assumes an organizational level of behavior or examines influence tactics within the confines of an individual-level dyad. This has led to a limited understanding of influence exercises involving a third person. Motivated to advance the understanding of this phenomenon, this study aims to explore how boundary spanners from a buying organization influence supplier representatives by involving a third person.

Design/methodology/approach
This study uses a longitudinal single case study design grounded in social control theory. Data consist of interviews, observations and documents collected over a period of 27 months in a global sourcing context.

Findings
The findings demonstrate how the influence agent from the buying organization can invoke a third person’s mediated and nonmediated social power base through either direct or indirect social control mechanisms. With these findings, this paper makes a novel theoretical contribution by developing a deeper understanding of underexposed social influence tactics unfolding in individual-level triads.

Practical implications
This study offers boundary spanning managers with practical insights into subtle and indirect forms of social influence with which they can influence external exchange partners.

Originality/value
To the best of the authors’ knowledge, this study is the first to draw on social control theory to examine interpersonal influence tactics in buyer-supplier relationships. By integrating this theoretical perspective with extant research on social power, this study emphasizes the importance of considering how the influence agent mobilizes a third person’s social influence base.
The evolution of intellectual capital disclosure driven by European regulatory change: evidence from the Italian stock market
Authors: Amendola Carlo , Gennaro Alessandro , Labella Simone , Vito Pietro , Savastano Marco 
Published: April 2023

PurposeThe matter of interest is the reporting and disclosure of intellectual capital (IC) in the global “knowledge economy” era. The aim of the paper is twofold: to verify the level of disclosure of IC through the non-financial statements (NFSs) published by public companies and to identify the main firm-specific factors that explain the propensity to disclose.Design/methodology/approachBased on the 27 components of IC, a scoring system is designed to measure the level of disclosure of IC by 47 listed Italian companies. Content analysis (CA) is performed on the NFSs these companies published in 2020, to measure each company's so-called intellectual capital disclosure index (ICDI). A regression analysis is then applied to relate the ICDI scores to some firm-specific variables to determine their relevance and influence on the level of disclosure.FindingsAlthough the NFS was not designed specifically for IC, the results of the analyses show an overall barely satisfactory ability of the NFS to give certain information on IC. Furthermore, the propensity to disclose IC appears significantly related to some firm characteristics considered here, such as capitalization, profitability, productivity, intangibility and financial structure.Research limitations/implicationsThe analysis relates to a representative but limited sample that does not allow for sectoral or time-series analyses. Extending the companies and years under observation would allow the results to be validated with broader and more in-depth analysis.Originality/valueThis paper provides exploratory but interesting evidence about the relationships between IC disclosure (ICD), firm characteristics and market capitalization. Despite several previous studies on the disclosure of IC, no analyses were found that focused on the information capacity of the NFS. Also, to the authors' knowledge, relatively few researchers have considered a set of financial ratios that include capital structure indices.
Imagery evoking visual and verbal information presentations in mobile commerce: the roles of augmented reality and product review
Authors: Yoo Jungmin , Kim Jung-Hwan , Kim Minjeong , Park Minjung 
Published: April 2023

PurposeThe purpose of this study is to investigate the effects of visual and verbal information presentations on mental imagery, perceived informativeness and purchase intention. The study assesses two types of product-related information: (1) visual information: static product images and augmented reality (AR) and (2) verbal information: abstract and concrete product reviews.Design/methodology/approachA total of 320 mobile consumers participated in the experiment. To increase external validity, this study was conducted in an existing digital shopping environment.FindingsThe results suggest that AR has a greater effect on consumers' shopping outcomes than static images. The findings further reveal that concrete product reviews are important in increasing mental imagery, perceived informativeness and purchase intention when visual information does not provide an AR function.Originality/valueThis study contributes to the current literature by providing empirical support for AR effects and concrete reviews on consumer responses. The results further provide an important perspective for retailers seeking ways to develop effective information presentations in digital retailing.
Dissecting the compensation conundrum: a machine learning-based prognostication of key determinants in a complex labor market
Authors: Jaiswal Rachana , Gupta Shashank , Tiwari Aviral Kumar 
Published: April 2023

PurposeAmidst the turbulent tides of geopolitical uncertainty and pandemic-induced economic disruptions, the information technology industry grapples with alarming attrition and aggravating talent gaps, spurring a surge in demand for specialized digital proficiencies. Leveraging this imperative, firms seek to attract and retain top-tier talent through generous compensation packages. This study introduces a holistic, integrated theoretical framework integrating machine learning models to develop a compensation model, interrogating the multifaceted factors that shape pay determination.Design/methodology/approachDrawing upon a stratified sample of 2488 observations, this study determines whether compensation can be accurately predicted via constructs derived from the integrated theoretical framework, employing various cutting-edge machine learning models. This study culminates in discovering a random forest model, exhibiting 99.6% accuracy and 0.08° mean absolute error, following a series of comprehensive robustness checks.FindingsThe empirical findings of this study have revealed critical determinants of compensation, including but not limited to experience level, educational background, and specialized skill-set. The research also elucidates that gender does not play a role in pay disparity, while company size and type hold no consequential sway over individual compensation determination.Practical implicationsThe research underscores the importance of equitable compensation to foster technological innovation and encourage the retention of top talent, emphasizing the significance of human capital. Furthermore, the model presented in this study empowers individuals to negotiate their compensation more effectively and supports enterprises in crafting targeted compensation strategies, thereby facilitating sustainable economic growth and helping to attain various Sustainable Development Goals.Originality/valueThe cardinal contribution of this research lies in the inception of an inclusive theoretical framework that persuasively explicates the intricacies of a machine learning-driven remuneration model, ennobled by the synthesis of diverse management theories to capture the complexity of compensation determination. However, the generalizability of the findings to other sectors is constrained as this study is exclusively limited to the IT sector.
Hybrid workplace: current status, positives, negatives, challenges, and team learning
Authors: Oppong Peprah Emmanuel 
Published: April 2023

Purpose
This study aims to find out if organizations are still practicing a hybrid workplace arrangement after COVID-19 ease of restrictions, determine the positive and negative sides of a hybrid workplace, ascertain the challenges organizations are currently facing in implementing a hybrid workplace and examine how successful team learning has been in hybrid workplaces.

Design/methodology/approach
This study adopted a mixed approach. Two sets of data (quantitative and qualitative) were used to answer the research questions.

Findings
This study found that most organizations within professional service firms are still implementing hybrid workplaces even though COVID-19 restrictions have been eased. This study also found that one of the advantages of implementing a hybrid work arrangement includes employees’ opportunity to spend more time with their families. On the other hand, the disadvantages discovered were gradual loss of corporate identity, a feeling of loneliness and others. One of the challenges organizations are facing in implementing this working system is the lack of an ergonomic workplace and appropriate technology for remote working. With evidence, this study ends with finding out that companies are not successful as expected in terms of team learning in a hybrid workplace.

Originality/value
To the best of the author’s knowledge, this is among the first to look at hybrid workplace in the African setting where COVID restrictions which highlights the practice has not really been an issue. This study also combines its findings with those done on the subject before to firmly clarify attributes as they exist.
Forecasting the diffusion of ISO/IEC 27001: a Grey model approach
Authors: Podrecca Matteo , Sartor Marco 
Published: April 2023

PurposeThe aim of this paper is to present the first diffusion analysis of ISO/IEC 27001, the fourth most popular ISO certification at global level and the most important standard for information security.Design/methodology/approachTo achieve the purposes, the authors applied Grey Models (GM) – Even GM (1,1), Even GM (1,1,α,θ), Discrete GM (1,1), Discrete GM (1,1,α) – complemented by the relative growth rate and the doubling time indexes on the six most important countries in terms of issued certificates.FindingsResults show that a growing trend is likely to be expected in the years to come and that China will lead at country level.Originality/valueThe study contributes to the scientific debate by presenting the first diffusive analysis of ISO/IEC 27001 and by proposing a forecasting approach that to date has found little application in the field of international standards.
Macroalgae maintain growth outside their observed distributions: Implications for biodiversity‐ecosystem functioning at landscape scales
Authors: Schrofner‐Brunner Benedikt , Hagan James G. , Cappelatti Laura , Hassellöv Jesper , Wißmann Merle , Gamfeldt Lars 
Published: April 2023

Abstract

The spatial insurance hypothesis states that at landscape scales with environmental variability between different places, biodiversity increases ecosystem functioning if species respond asynchronously to environmental variation, and they are highest functioning in places where they dominate the relative abundance.

Under this hypothesis, observed species turnover between places in a landscape with environmental variation might suggest that species diversity is an important driver of landscape‐scale ecosystem functioning. However, the spatial insurance implicitly assumes that species found in one place in the landscape will not be able to maintain high functioning in other places.

Given this assumption of the spatial insurance hypothesis, we would predict that species' functioning in monoculture should decline if transplanted to a different place on an environmental gradient, away from where they naturally dominate. If this is the case, we would expect that the loss of one species in one place of the environmental gradient could not be compensated through the establishment of another species in that place.

We tested this prediction using a model system of marine macroalgae on intertidal rocky shores on the Swedish west coast. We performed a reciprocal transplant experiment with adult individuals of four fucoid seaweeds that dominate the standing stock biomass at different depths on these shores and monitored their relative growth rate over 2 months.

Counter to the assumptions made by the spatial insurance hypothesis, growth rates for three of the four species showed limited responses to being transplanted to different depth zones. Spatial insurance may, hence, play a minor role in sustaining landscape ecosystem functioning in this and other systems.

Synthesis. The functional consequences of species loss at landscape scales may not be as obvious as observational studies and ecological models suggest. Consequently, natural patterns of species turnover should not be used directly to argue for the role of biodiversity at landscape scales. Instead, how species may or may not be able to compensate for the loss of other species is a critical aspect if we are to understand how changes in biodiversity at the landscape scale affect ecosystem functioning.