bluuebunny/crossref_metadata_2025_split huggingface dataset:
Understanding the effects of socialness and color complexity in listing images on crowdfunding behavior
Authors: Barnes Stuart John 
Published: January 2024

PurposeColor psychology theory reveals that complex images with very varied palettes and many different colors are likely to be considered unattractive by individuals. Notwithstanding, web content containing social signals may be more attractive via the initiation of a social connection. This research investigates a predictive model blending variables from these theoretical perspectives to determine crowdfunding success.Design/methodology/approachThe research is based on data from 176,614 Kickstarter projects. A number of machine learning and artificial intelligence techniques were employed to analyze the listing images for color complexity and the presence of people, while specific language features, including socialness, were measured in the listing text. Logistic regression was applied, controlling for several additional variables and predictive model was developed.FindingsThe findings supported the color complexity and socialness effects on crowdfunding success. The model achieves notable predictive value explaining 56.4% of variance. Listing images containing fewer colors and that have more similar colors are more likely to be crowdfunded successfully. Listings that convey greater socialness have a greater likelihood of being funded.Originality/valueThis investigation contributes a unique understanding of the effect of features of both socialness and color complexity on the success of crowdfunding ventures. A second contribution comes from the process and methods employed in the study, which provides a clear blueprint for the processing of large-scale analysis of soft information (images and text) in order to use them as variables in the scientific testing of theory.
All that glitters is not gold: exploring social selling through the eyes of B2B customers
Authors: Ancillai Chiara , Bartoloni Sara , Pascucci Federica 
Published: January 2024

Purpose
The purpose of this study is to provide an in-depth understanding of the B2B customers’ perspective regarding salespeople’s social media use.

Design/methodology/approach
The study adopts a qualitative approach based on semi-structured interviews with 26 key informants performing their job in customer role in various industries.

Findings
The authors inductively identify five themes regarding the B2B customers’ perspective of social media use in B2B selling. These themes allow for valuable implications for social selling activities and expected outcomes.

Originality/value
Against a growing body of literature on drivers, best practices and outcomes of social media use by B2B salespeople, less attention has been paid to the customer’s side. The authors extend current research by providing a more complete picture of social selling activities and expected outcomes.
Development of workplace well-being indexes at construction sites
Authors: Omer Mazen M. , Moyo Tirivavi , Alias Ahmad Rizal , Rahman Rahimi A. 
Published: January 2024

PurposeThis study aims to develop workplace well-being indexes for construction sites of different project types (infrastructure, high-rise and low-rise). Accordingly, the study objectives are to identify the critical factors that affect workplace well-being at construction sites, compare the critical factors between different project types, categorize the critical factors into subgroups and compute indexes for the critical factors and subgroups.Design/methodology/approachData from a systematic literature review and semi-structured interviews with construction industry professionals were used to extract 19 potential factors that affect workplace well-being. Then, a structured questionnaire survey was distributed, and 169 valid responses were collected. Finally, the data were analyzed using normalized mean analysis, agreement analysis, factor analysis and fuzzy synthetic evaluation.FindingsThe study findings revealed that there are 11, 11, 8 and 12 critical factors across overall infrastructure, high-rise and low-rise construction projects. Out of those, six critical factors are overlapping across project types, including “general safety and health monitoring,” “salary package,” “timeline of salary payment,” “working hours,” “communication between workers” and “planning of the project.” Accordingly, the critical factors can be categorized into two subgroups within each project type. Finally, the development of indexes shows that infrastructure construction projects have the greatest index compared to other project types.Originality/valueThis study contributes to filling the current knowledge gap by developing workplace well-being indexes at construction sites across different project types. The indexes would assist decision-makers in understanding the current state of workplace well-being. This increases the commitment and recognition of well-being across different construction project types.
Diving into the divide: a systematic review of cognitive bias-based polarization on social media
Authors: Xing Yunfei , Zhang Justin Zuopeng , Storey Veda C. , Koohang Alex 
Published: January 2024

PurposeThe global prevalence of social media and its potential to cause polarization are highly debated and impactful. The previous literature often assumes that the ideological bias of any media outlet remains static and exogenous to the polarization process. By studying polarization as a whole from an ecosystem approach, the authors aim to identify policies and strategies that can help mitigate the adverse effects of polarization and promote healthier online discourse.Design/methodology/approachTo investigate online polarization, the authors perform a systematic review and analysis of approximately 400 research articles to explore the connection between cognitive bias and polarization, examining both causal and correlational evidence. The authors extensively evaluate and integrate existing research related to the correlation between online polarization and crucial factors such as public engagement, selective exposure and political democracy. From doing so, the authors then develop a PolarSphere ecosystem that captures and illustrates the process of online polarization formation.FindingsThe authors' review uncovers a wide range of associations, including ideological cognition, bias, public participation, misinformation and miscommunication, political democracy, echo chambers and selective exposure, heterogeneity and trust. Although the impact of bias on social media polarization depends on specific environments and internal/external conditions, certain variables exhibit strong associations across multiple contexts. The authors use these observations as a basis from which to construct PolarSphere, an ecosystem of bias-based polarization on social media, to theorize the process of polarization formation.Originality/valueBased on the PolarSphere ecosystem, the authors argue that it is crucial for governments and civil societies to maintain vigilance and invest in further research to gain a deep comprehension of how cognitive bias affects online polarization, which could lead to ways to eliminate polarization.
Technology systems to enable a man with intellectual, sensory and motor disabilities to make verbal requests through simple one-hand signs: proof-of-concept study
Authors: Lancioni Giulio , Alberti Gloria , Pezzuoli Francesco , Bruciati Juri , Singh Nirbhay , O'Reilly Mark , Sigafoos Jeff 
Published: January 2024

PurposeThis study assessed two technology systems aimed at enabling a man with intellectual disability, blindness, deafness and motor and tactile discrimination problems to make verbal requests through simple one-hand signs.Design/methodology/approachThe study was conducted according to an ABAB design. During the B (intervention) phases, the man used the two systems, which included (1) nine mini recording devices fixed on the man’s clothes or wheelchair (i.e. in positions the man touched with his sign movements) and (2) nine tags with radio frequency identification codes (fixed at approximately the same positions as the mini recording devices) and a dedicated tag reader, respectively. Making a sign (i.e. touching a recording device or reaching a tag) led to the verbalization of the request related to that sign.FindingsDuring baseline, the mean frequency of signs/requests made was below 2 per session, and only some of those requests were identified/satisfied. During the intervention, the mean frequency of requests made and satisfied was about 10 per session with each of the systems.Originality/valueThe results, which are to be taken with caution given the preliminary nature of the study, seem to suggest that the systems can help translate simple signs into verbal requests.
Islamic teachings and environmental corporate social responsibility in Bangladesh: a mixed-methods research approach
Authors: Sumi Ayesha Akter , Ahmed Saif , Alam Syed Shah 
Published: January 2024

Purpose
This study aims to examine the impact of Islamic teachings on environmental corporate social responsibility (CSR) practices in Bangladesh, a country where Islamic principles are profoundly influential.

Design/methodology/approach
Using a mixed-methods research approach (quantitative study with close-ended questionnaire and qualitative study with semistructure interview), this study aims to explore the role of individual characteristics and organizational contexts in environmental CSR practices. The study uses a robust analytical framework encompassing variance inflation factor, orthogonal loading, Cronbach’s alpha, composite reliability and average variance extracted to assess the reliability and validity of these metrics.

Findings
Thematic analysis reveals the motivations, attitudes and challenges experienced by organizational leaders in aligning Islamic ethics with environmental stewardship, whereas the quantitative results provide empirical support for the relationship between various organizational practices (denoted as M#1 to M#8) and environmental CSR.

Originality/value
The findings of this study illuminate the potential benefits of tailoring CSR policies to fit within specific religious and cultural frameworks, offering both theoretical contributions and practical insights.
Language and home-culture integrated online learning curriculum for developing intercultural communicative competence
Authors: Trinh Anh-Hang , Dinh Hanh 
Published: January 2024

Purpose
The purpose of this study is to theorize that computer-assisted language learning (CALL) can be integrated in English language learning with a focus on cultural learning of both home and target language.

Design/methodology/approach
The present study used a systematic methodology to conceive the language and home-culture integrated online learning (LHIOL) curriculum design based on relevant conceptual frameworks and gather qualitative data from focused group interviews of 30 teachers and 3,000 students’ open-ended questionnaires, along with learning artifacts to identify major themes.

Findings
CALL, used as cultural and linguistic material, helps students embrace their cultural identities, especially ethnic minorities, capitalize on their distinctive values, and appreciate and empathize with other languages and cultures. The instructors advocate for localizing intercultural communicative competence (ICC) educational content into Vietnamese culture, using real multimedia resources. However, the LHIOL curriculum faced systemic constraints regarding competitions between linguistic and cultural instruction, teachers’ refusal to recognize ICC’s importance and recognition of an explicit link between virtual cultural learning and their lives.

Originality/value
LHIOL is a preliminary practical effort to suggest how a cultural education from one’s native tongue can be integrated into a culture-focused English/Western language environment. By incorporating fundamental concepts that underpin the integration of language and culture as well as CALL, improving ICC offers a framework that can be applied to elucidate cultural learning.
Towards emerging Industry 5.0 – a review-based framework
Authors: Nair Ashalakshmy , Pillai Sini V. , Senthil Kumar S.A. 
Published: January 2024

PurposeThe study aims to investigate the integration of human and machine intelligence in Industry 4.0 (I4.0), particularly in the convergence of industrial revolutions 4.0 (IR4.0) and 5.0. It seeks to identify employee competencies aligned with industry 5.0 (I5.0) and propose a framework for deep multi-level cooperation to improve human integration within the intelligence system.Design/methodology/approachThis study uses bibliometric analysis to review 296 research papers retrieved from the Scopus database between 2002 and 2022. The prominence of the research is evaluated by analyzing the publication trend, sample statistics, theoretical foundation, commonly used keywords, thematic evolution, country-based contributions and top-cited documents.FindingsThe study observed that research in I5.0 has been limited in the past but has gained momentum since 2015. An analysis of research papers from 2002 to 2022 reveals a gradual shift toward human-centric practices. The literature on I4.0, the internet of things (IoT), artificial intelligence (AI), cloud manufacturing, blockchain and big data analysis has been increasingly highlighting the growing importance of digitalization in the future. An increase in the number of countries contributing to the field of study has also been observed.Originality/valueThis analysis offers valuable insights for managers, policymakers, information technology (IT) developers and stakeholders in understanding and implementing human-centric practices in I5.0. It emphasizes staying current with trends, embracing workforce empowerment through reskilling and upskilling, and prioritizing data privacy and security in adaptable systems. These strategies contribute to developing effective, inclusive and ethically sound approaches aligned with the principles of I5.0.
Key success factors for implementing strategy in the Icelandic fisheries industry
Authors: Vigfússon Kristján , Jóhannsdóttir Lára , Ólafsson Snjólfur , Köseoğlu Mehmet Ali 
Published: January 2024

PurposeThis study focuses on the key success factors (KSFs) for strategy implementation in the fisheries industry in Iceland identified by chief executive officers within the industry. The purpose is to provide a comprehensive categorization of KSFs that influence how strategy is mobilized. The secondary aim is to uncover the level of priority that companies place on the dimensions of the United Nations (UN) Sustainable Development Goals (SDGs).Design/methodology/approachThe methodology involves qualitative case studies based on in-depth elite interviews with nine chief executive officers of Icelandic fishing companies.FindingsThe research indicates strategy implementation can be improved in four main areas. First, by engaging and involving all employees in the implementation process. Second, by enhancing bottom-up innovation and communication. Third, through alignment of the corporate strategy and the UN SDGs, and fourth, by following rigorous action plans with clear, measurable and prioritized objectives and timeframes for the managers to follow. These improvements have both theoretical and practical implications for the fishing industry. Consequently, a conceptual framework for integrated strategy implementation in the fisheries industry is proposed.Research limitations/implicationsA limited number of in-depth elite interviews were conducted since access to the chief executive officers of the country’s largest fishing companies proved challenging. However, the nine companies collectively hold nearly 50% of the country’s total quota, thereby proving a deep understanding of the topic relevant to the industry. The research uncovered a substantial cross-section of viewpoints, and as such, the results are relevant for both academia and practitioners alike.Originality/valueThis study contributes to the debate on KSFs relevant to strategy implementation within a specific industry but also aligns with the UN SDGs by proposing a dedicated framework for implementing strategies in the fisheries industry. Overall, this study can help managers achieve strategy implementation.
First-line managers struggling to lead home care based on the individual’s needs and goals – conflict between ethical principles
Authors: James Inger , Kihlgren Annica , Norell Pejner Margaretha , Tavemark Sofia 
Published: January 2024

Purpose
The purpose of this paper is to describe how first-line managers (FLMs) in home care (HC) reason about the opportunities and obstacles to lead the work according to the individual’s needs and goals.

Design/methodology/approach
In this participatory appreciative action reflection project, eight managers within one Swedish municipality were interviewed. The data were analysed using a thematic analysis.

Findings
The results showed a polarization between two different systems that FLMs struggle to balance when attempting to lead HC that adapts to the needs and goals of individuals. One system was represented by the possibilities of a humane system, with human capital in the form of the individual, older persons and the co-workers in HC. The second system was represented by obstacles in the form of the economic needs of the organization in which the individual receiving HC often felt forgotten. In this system, the organization’s needs and goals governed, with FLMs needing to adapt to the cost-effectiveness principle and keep a balanced budget. The managers had to balance an ethical conflict of values between the human value and needs-solidarity principles, with that of the cost-effectiveness principle.

Originality/value
The FLMs lack the opportunity to lead HC according to the needs and goals of the individuals receiving HC. There is a need for consensus and a value-based leadership model based on ethical principles such as the principles of human value and needs-solidarity to lead the HC according to the individual’s needs and goals.
Exploring the enablers of organizational excellence by human capital-driven innovation ecosystems
Authors: Yan Min-Ren , Lee Ting-Cheng 
Published: January 2024

Purpose
The purpose of this study is to discuss how organizations can drive organizational performance through human capital (HC) investment through systematic thinking.

Design/methodology/approach
This study analyzes three companies from various industries, adopts systems thinking and uses three leading indicators from the balanced scorecard framework to explore the effects of strategic orientations for HC on innovation ecosystems and organizational performance.

Findings
In terms of academic contributions, this study broadly verifies the innovation ecosystem model for organizations and reveals that customer-oriented, internal process-oriented and innovation learning-oriented HC strategies reinforce the pathways in organizational innovation ecosystems, thereby enriching the literature on innovation ecosystems.

Practical implications
In terms of practical contributions, this study provides a novel HC-based perspective on developmental dynamics and details the relationships among each aspect of the innovation ecosystem and HC strategies.

Originality/value
The proposed architecture and strategic frameworks provide a reference for corporations to implement strategic orientations of HC, drive operations in organizational innovation ecosystems and improve organizational performance.
Passive social network usage and life satisfaction among Vietnamese university students: a moderated mediation model of self-esteem and gender
Authors: Nguyen Nhan , Dang An , Ngo Tai , Tran Hieu , Tran Dung 
Published: January 2024

Purpose
This study aims to investigate the role of self-esteem in mediating the relationship between passive social networking usage (PSNU) and life satisfaction, as well as whether the relationships between PSNU and self-esteem/life satisfaction as well as self-esteem and life satisfaction vary by gender.

Design/methodology/approach
This research is conducted in compliance with the ethical standards of the American Psychological Association’s study on a subject of 304 students. Study participants are invited to participate in the survey by completing the anonymous questionnaire regarding passive social network usage, self-esteem and life satisfaction.

Findings
The findings indicate that self-esteem mediated the relationship between PSNU and life satisfaction. Furthermore, gender moderated the self-esteem and life satisfaction relationship, and such an effect was stronger for females than males.

Research limitations/implications
This study, adopting a cross-sectional design and self-report scale, examined the relationship between PSNU and life satisfaction. However, the short study duration hindered establishing a cause-and-effect relationship. Credibility concerns arose from participant-induced noise variables in the self-report scale. Future research should use diverse methods to validate underlying mechanisms. Despite limitations, the study revealed self-esteem as a mediating factor, alleviating the negative impact of PSNU on life satisfaction. Both male and female users are encouraged to engage in self-education, valuing their self-esteem for heightened life satisfaction.

Originality/value
These findings contribute to the understanding of how passive social network usage predicts life satisfaction (mediating effect of self-esteem) based on social comparison theory and when self-esteem increases life satisfaction (moderating effect of gender) based on social role theory of gender differences.
Development of a long-term solar PV power forecasting model for power system planning
Authors: P.R. Jain Vinith , K. Navin Sam , T. Vidya , A. Joseph Godfrey , Arunachalam Venkadesan 
Published: January 2024

Purpose
This paper aims to Solar photovoltaic (PV) power can significantly impact the power system because of its intermittent nature. Hence, an accurate solar PV power forecasting model is required for appropriate power system planning.

Design/methodology/approach
In this paper, a long short-term memory (LSTM)-based double deep Q-learning (DDQL) neural network (NN) is proposed for forecasting solar PV power indirectly over the long-term horizon. The past solar irradiance, temperature and wind speed are used for forecasting the solar PV power for a place using the proposed forecasting model.

Findings
The LSTM-based DDQL NN reduces over- and underestimation and avoids gradient vanishing. Thus, the proposed model improves the forecasting accuracy of solar PV power using deep learning techniques (DLTs). In addition, the proposed model requires less training time and forecasts solar PV power with improved stability.

Originality/value
The proposed model is trained and validated for several places with different climatic patterns and seasons. The proposed model is also tested for a place with a temperate climatic pattern by constructing an experimental solar PV system. The training, validation and testing results have confirmed the practicality of the proposed solar PV power forecasting model using LSTM-based DDQL NN.