bluuebunny/crossref_metadata_2025_split huggingface dataset:
Entrepreneurs signaling: promoting equity crowdfunding in Lebanon
Authors: Chidiac El Hajj Mireille , Chidiac May , Awdeh Ali 
Published: May 2022

PurposeThis paper aims at shedding light on the entrepreneurs' perception towards crowdfunding as a new mean for raising capital, and their willingness to send appropriate signals to the potential fund providers/backers.Design/methodology/approachThe research strategy is based on three methodological approaches: desk research on online sources, a map of the crowdfunding phenomenon, and a quantitative approach with a survey performed between June and December 2020. The survey covers a sample of 147 Small and Medium enterprises (SMEs) and startups, in addition to semi-structured interviews with 10 entrepreneurs.FindingsThe study reveals that between losing their work and losing part of their firms' equity, entrepreneurs are keen on sending positive signals to backers. Moreover, they are willing to adopt a new way of thinking, as their primary goal is to save their firms, their jobs, and their source of income. The research highlights the concern of entrepreneurs of losing reputation, losing intellectual property, losing control, and of becoming only shareholders in their enterprises.Research limitations/implicationsThe main limitation in this paper is that no single study in Lebanon adequately covers the topic and thus extensive research has been carried out on crowdfunding across the world and analyzed in the Lebanese context.Practical implicationsOvercoming funding challenges can reduce brain drain, promote a culture of entrepreneurship, serve the economy, combat poverty, achieve more equitable society, increase the levels of expectations, and turn the flywheel. Moreover, the paper presents clear implications for the field of policy-making both in developing and developed countries.Originality/valueConsidering the serious financial disintermediation and liquidity shortage Lebanon faces, the findings of this study show how important changing entrepreneurial culture and behavior is, and the crucial role crowdfunding could play in providing funds for the SMEs that form 95% of the total business sector in Lebanon.
It’s a Vibe: understanding the graduate school experiences of Black male engineering faculty
Authors: Henderson Jerrod A. , Hines Erik M. , Davis Jared L. , Benjamin Le Shorn S. , Alarcón Jeannette D. , Slack Tyron 
Published: May 2022

Purpose
In spite of ongoing and recent initiatives aimed at broadening participation in engineering, the representation of diverse groups of learners in engineering graduate programs in the USA remains a challenge. Foregrounding the voices of 26 Black male engineering faculty, this study aims to investigate how institutions might recruit and retain more Black men in engineering graduate programs.

Design/methodology/approach
For this study, inductive thematic analysis was used.

Findings
The authors show that three themes, namely, representation as an asset, invested mentors and faculty, and supportive peer networks described as the “Vibe” manifest as crucial elements for successful recruitment and retention of Black men in engineering graduate programs.

Originality/value
These findings are meant to augment the conversation around diversity, equity and inclusion in engineering graduate programs and to address a dearth of published research on the Black male engineering population. This work is also meant to help institutions conceptualize ways to create a “Vibe” that might be transferable to their institution’s sociocultural context.
Effectiveness of regulatory technology implementation in Indonesian banking sector to prevent money laundering and terrorist financing
Authors: Meiryani Meiryani , Soepriyanto Gatot , Audrelia Jessica 
Published: May 2022

Purpose
Money laundering and terrorism financing use the banking sector system illegally and result in enormous losses for the state and nation. Regulatory Technology (RegTech) is an important part of effectively preventing money laundering and terrorism financing. However, the implementation of RegTech related to the prevention of money laundering and terrorist financing, especially in the Indonesian banking sector, has not been widely studied and discussed. Therefore, this study aims to provide empirical testing evidence regarding the effectiveness of RegTech implementation in the Indonesian banking sector to prevent money laundering and terrorist financing.

Design/methodology/approach
This study uses primary data obtained through a survey distributed to 160 bankers who work in eight different banks in Indonesia with a 95% confidence level and a confidence interval of 7.75. The criteria needed to determine the sample in this study are individuals who actively work as staff whose work is directly related to banking; individuals who are actively working in banks registered with OJK; individuals who have been actively working in the banking sector in Indonesia for at least three years. The data that has been obtained were analyzed using the SmartPLS application to test the validity and reliability, descriptive statistics and structural models (inner model).

Findings
The results of this study indicate that electronic know your customer (eKYC), transaction monitoring (TM), cost and time efficiencies (CTE) influence the prevention of anti-money laundering (AML) and countering financing of terrorism (CFT) in the Indonesian banking sector. However, eKYC and CTE have little influence on AML-CFT in the Indonesian banking sector. Meanwhile, TM has a moderate influence on AML-CFT in the Indonesian banking sector. In addition, in general, most bankers agree that the bank they work for has followed the guidelines, policies and regulations that have been given.

Originality/value
This study uses the Indonesian banking sector as a research subject that raises the effectiveness of the implementation of the use of RegTech to prevent money laundering and terrorism financing.
PMM and beyond – reflections on the paper “new developments in institutional research on performance measurement and management in the public sector”
Authors: Vakkuri Jarmo 
Published: May 2022

PurposeThis paper reflects on Sven Modell's (2022) study discussing uses of institutional theorising for studying performance measurement and management (PMM) in the public sector context. The paper provides arguments for critically analysing the assumptions and characteristics of PMM research.Design/methodology/approachFirst, the paper addresses PMM as a field of research linking scientific disciplines, schools of thought and academic scholars. Second, the paper discusses the role of institutional theorising in PMM research. Third, the paper analyses and reviews Modell's ideas on the future prospects of PMM research. The paper also elaborates on the ideas presented in Modell's paper.FindingsModell's paper suggests sociology of valuation and the discussion on hybrid governance as future developments for PMM research. This paper provides a conceptual perspective to link these areas together. Furthermore, the paper contributes to understanding PMM as a multi-disciplinary, inter-disciplinary and trans-disciplinary research area.Originality/valueThis paper contributes to the conceptualizations of values, valuation and hybridity in PMM research from the viewpoint of institutional theory.
User value identification based on an improved consumer value segmentation algorithm
Authors: Qi Jianfang , Li Yue , Jin Haibin , Feng Jianying , Mu Weisong 
Published: May 2022

PurposeThe purpose of this study is to propose a new consumer value segmentation method for low-dimensional dense market datasets to quickly detect and cluster the most profitable customers for the enterprises.Design/methodology/approachIn this study, the comprehensive segmentation bases (CSB) with richer meanings were obtained by introducing the weighted recency-frequency-monetary (RFM) model into the common segmentation bases (SB). Further, a new market segmentation method, the CSB-MBK algorithm was proposed by integrating the CSB model and the mini-batch k-means (MBK) clustering algorithm.FindingsThe results show that our proposed CSB model can reflect consumers' contributions to a market, as well as improve the clustering performance. Moreover, the proposed CSB-MBK algorithm is demonstrably superior to the SB-MBK, CSB-KMA and CSB-Chameleon algorithms with respect to the Silhouette Coefficient (SC), the Calinski-Harabasz (CH) Index , the average running time and superior to the SB-MBK, RFM-MBK and WRFM-MBK algorithms in terms of the inter-market value and characteristic differentiation.Practical implicationsThis paper provides a tool for decision-makers and marketers to segment a market quickly, which can help them grasp consumers' activity, loyalty, purchasing power and other characteristics in a target market timely and achieve the precision marketing.Originality/valueThis study is the first to introduce the CSB-MBK algorithm for identifying valuable customers through the comprehensive consideration of the clustering quality, consumer value and segmentation speed. Moreover, the CSB-MBK algorithm can be considered for applications in other markets.
Probing the impact of recognition-based heuristic biases on investment decision-making and performance
Authors: Ahmad Maqsood , Wu Qiang , Abbass Yasar 
Published: May 2022

PurposeThis study aims to explore and clarify the mechanism by which recognition-based heuristic biases influence the investment decision-making and performance of individual investors, with the mediating role of fundamental and technical anomalies.Design/methodology/approachThe deductive approach was used, as the research is based on behavioral finance's theoretical framework. A questionnaire and cross-sectional design were employed for data collection from the sample of 323 individual investors trading on the Pakistan Stock Exchange (PSX). Hypotheses were tested through the structural equation modeling (SEM) technique.FindingsThe article provides further insights into the relationship between recognition-based heuristic-driven biases and investment management activities. The results suggest that recognition-based heuristic-driven biases have a markedly positive influence on investment decision-making and negatively influence the investment performance of individual investors. The results also suggest that fundamental and technical anomalies mediate the relationships between the recognition-based heuristic-driven biases on the one hand and investment management activities on the other.Practical implicationsThe results of the study suggested that investment management activities that rely on recognition-based heuristics would not result in better returns to investors. The article encourages investors to base decisions on investors' financial capability and experience levels and to avoid relying on recognition-based heuristics when making decisions related to investment management activities. The results provides awareness and understanding of recognition-based heuristic-driven biases in investment management activities, which could be very useful for decision-makers and professionals in financial institutions, such as portfolio managers and traders in commercial banks, investment banks and mutual funds. This paper helps investors to select better investment tools and avoid repeating the expensive errors that occur due to recognition-based heuristic-driven biases.Originality/valueThe current study is the first to focus on links recognition-based heuristic-driven biases, fundamental and technical anomalies, investment decision-making and performance of individual investors. This article enhanced the understanding of the role that recognition-based heuristic-driven biases plays in investment management. More importantly, the study went some way toward enhancing understanding of behavioral aspects and the aspects' influence on investment decision-making and performance in an emerging market.
Trailblazers in green business: unconventional practices and motivation within a chamber of commerce business network
Authors: Hanson-Rasmussen Nancy , Opall Brent S. 
Published: May 2022

PurposeThe motivation and practices of business network members are explored with the purpose of determining what leads businesses to fully share and learn sustainable practice from each other and how chambers contribute to an urgent need.Design/methodology/approachIn this exploratory case study using in-depth interviews, SMEs belonging to a chamber of commerce green initiative address their unconventional thoughts regarding their participation and willingness to share their own sustainable practices.FindingsThe expectancy theory of motivation explains why members of a green business network participate in conventional and unconventional sustainable practices and the role networks play in recognizing but not increasing sustainable business practice.Originality/valueThis study is unique in that it explores the motivation and reticence of chamber of commerce business members to fully participate in a green initiative. Filling a literature gap, this study provides optimism that a chamber's green initiative may contribute to providing support for promising sustainable practice.
Management of external stakeholders' influences in donor-funded irrigation infrastructure projects in Sri Lanka
Authors: Ruwanpura U.D.R.E. , Perera B.A.K.S. 
Published: May 2022

PurposeAccelerating the influences of external stakeholders in any construction project is inevitable. Studies on external stakeholder influence on construction projects and literature on external stakeholder management in irrigation infrastructure projects executed with donor funds are scarce. Thus, this study aimed to investigate how to manage the external stakeholders' influence on donor-funded irrigation infrastructure projects effectively.Design/methodology/approachA mixed approach consisting of 17 semi-structured interviews and two rounds of questionnaire surveys was adopted to rank the following: the types of external stakeholders who can significantly influence irrigation infrastructure projects, significant influencing strategies used by those stakeholders, and significant strategies that can be adopted to manage external stakeholder influence on the projects.FindingsIn total, 12 of external stakeholders who can significantly influence irrigation infrastructure projects were identified; 17 significant influencing strategies used by external project stakeholders and 22 significant strategies used to manage external stakeholder influence on the projects were identified. The influencing/management strategies specific to each external stakeholder type and those that are common to all external stakeholder types were identified separately. The grievance redress mechanism should be activated for managing external stakeholder influence on donor-funded irrigation infrastructure projects.Originality/valueThis study contributes to theory by identifying significant strategies that can be used to manage external stakeholder influence on donor-funded irrigation infrastructure projects during the planning and design stages. The study will help project teams to handle external stakeholder influence on the projects successfully, accomplish project objectives, and make maximum utilization of the donor funds received.
Efficacy in COVID-19 management: the case of ASEAN
Authors: Lee Yoong Hon , Lim Sheau Yen Ruth 
Published: May 2022

Purpose
The effects of the COVID-19 pandemic have been devastating to countries around the world. Much of the problem has been the need to contain the infection via harsh social movement restrictions while having the necessary policies to cushion the ensuing economic blows that follow them. This study aims to look at The Association of Southeast Asian Nations (ASEAN) countries and assess the good practices that are associated with those which performed relatively better than the rest.

Design/methodology/approach
The authors use data envelopment analysis (DEA) to identify the most efficient country among the ASEAN nations in dealing with the pandemic and observe their practices with regard to the movement control metrics.

Findings
One particular country stood out in this regard, which is Singapore. The authors observed that its social restrictions were less stringent than many others yet its management of the pandemic has been highly successful despite having had the highest number of cases at one stage in 2020. This suggests massive lockdowns may not necessarily be the solution. However, the nation did place a high priority in having a high-income support, effective public campaigning and very restrictive policy on public events. In terms of originality and value, this paper uses DEA in identifying the best practice among ASEAN countries in dealing with the pandemic, both from an economic and medical perspectives.

Originality/value
To the best of the authors’ knowledge, no other papers have used this approach. The authors hope the findings can be of some value to policymakers in designing better (public) policies when it comes to dealing with pandemics in the future.
Making sense of teamwork in mobile hybrid teams: a lexical analysis
Authors: Gilstrap Curt A. , Srivastava Srishti , Gilstrap Cristina M. 
Published: May 2022

Purpose
This study aims to investigate the ways mobile hybrid team members make sense of their teamwork.

Design/methodology/approach
Using surveys, this study examined 579 US-based mobile hybrid team members as they discussed their professional team activities. Leximancer software determined, through frequency and co-occurrence analysis of survey-resulting unstructured data sets, the themes mobile hybrid team members use to make sense of their teamwork.

Findings
Participants included the concepts Team, Technology, Communication, Context and Time relative to 25 specific content themes within their talk about teamwork. While thematic clusters such as Team and Communication were densely packed, Technology and Time co-occurred more widely in support of other content themes within the mobile hybrid team member data set. This suggests mobile technologies pervade mobile hybrid team members’ sensemaking about their work.

Originality/value
A first of its kind inquiry into how mobile hybrid team members make sense of work and performance within their teams, this study highlights the need to explore further how mobile hybrid team members frame and enact technological processes as integral to their organizational work and team outcomes.
Quality 4.0 transition framework for Tanzanian manufacturing industries
Authors: Maganga Deusdedith Pastory , Taifa Ismail W.R. 
Published: May 2022

PurposeThis research aimed at developing the Quality 4.0 transition framework for Tanzanian manufacturing industries.Design/methodology/approachThe survey method was used in this study to gather practitioners' perspectives. The approach included open-ended and closed-ended structured questionnaires to assess respondents' perceptions of Quality 4.0 awareness and manufacturers' readiness to transit to Quality 4.0. The study's objective was to adopt non-probability and purposive sampling strategies. The study focused on fifteen Tanzanian manufacturing industries. The data were analysed qualitatively and quantitatively using MAXQADA 2020 and Minitab 20 software packages, respectively.FindingsThe study demonstrated a high level of awareness of Quality 4.0 among Tanzanian manufacturing industries (i.e. 100% in Quality 4.0 traditional attributes and 53% in Quality 4.0 modern attributes). Individuals acquire knowledge in various ways, including through quality training, work experience, self-reading and Internet surfing. The result also revealed that most manufacturing industries in Tanzania use Quality 3.0 or a lower approach to manage quality. However, Tanzanian manufacturing industries are ready to embrace Quality 4.0 since practitioners are aware of the concepts and could see benefits such as customer satisfaction, product improvement, process and continuous improvement, waste reduction and decision support when using the Quality 4.0 approach. The challenges hindering Quality 4.0 adoption in Tanzania include reliable electricity, high-speed Internet and infrastructure inadequacy to support the adoption, skilled workforces familiar with Quality 4.0-enabled technologies and a financial set-up to support technology investment. Moreover, the study developed a transition framework for an organisation to transition from traditional quality approaches such as quality control, quality assurance and total quality management to Quality 4.0, a modern quality approach aligned with the fourth industrial revolution era.Research limitations/implicationsThe current study solely looked at manufacturing industries, leaving other medical, service, mining and construction sectors. Furthermore, no focus was laid on the study's Quality 4.0 implementation frameworks.Originality/valueThis is probably the first Quality 4.0 transition framework for Tanzanian manufacturing industries, perhaps with other developing countries.
Some neighbours are better than others: Variation in associational effects among plants in an old field community
Authors: Mutz Jessie , Heiling Jacob M. , Paniagua‐Montoya Monica , Halpern Stacey L. , Inouye Brian D. , Underwood Nora 
Published: May 2022

Abstract

Consumer‐resource interactions are often influenced by other species in the community, such as when neighbouring plants increase or reduce herbivory to a focal plant species (known as associational effects). The many studies on associational effects between a focal plant and some neighbour have shown that these effects can vary greatly in strength and direction. But because almost all of these studies measure associational effects from only one or two neighbour species, we know little about the actual range of associational effects that a plant species might encounter in a natural setting. This makes it difficult to determine how important effects of neighbours are in real field settings, and how associational effects might interact with competition and other processes to influence plant community composition.

In this study, we used a field experiment with a focal species, Solanum carolinense, and 11 common neighbour species to investigate how associational effects vary among many co‐occurring neighbour species and to test whether factors such as neighbour plant apparency, phylogenetic proximity to the focal species, or effects on focal plant defence traits help to explain interspecific variation in associational effect strength.

We found that some neighbour species affected S. carolinense damage and attack by specialist herbivores, but associational effects of most neighbours were weak. Associational effects increased herbivore attack on average earlier in the season (associational susceptibility) and reduced herbivore attack on average later in the season (associational resistance) relative to S. carolinense in monoculture.

We found some evidence that a neighbour's associational effect was related to its biomass and phylogenetic proximity to the focal species. While neighbour species differed in their effects on physical leaf traits of focal plants (trichome density, specific leaf area, and leaf toughness), these traits did not appear to mediate the effects of neighbours on focal plant herbivory.

Synthesis. Our results suggest that the distribution of associational effect strengths in natural communities are similar to those observed for other interaction types, and that multiple mechanisms are likely acting simultaneously to shape associational effects of different neighbour species.