bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effects of parasocial interaction, brand credibility and product involvement on celebrity endorsement on microblog
Authors: Gong Wanqi 
Published: November 2020

PurposeThis study explores the influence of parasocial interaction (PSI), brand credibility and product involvement on celebrity endorsement, and how PSI interacts with brand and product factors and affects celebrity endorsement synthetically.Design/methodology/approachThis study employs a 2 (high/low product involvement) by 2 (high/low brand credibility) between-subjects factorial design experiment to test the hypotheses.FindingsBrand credibility has a positive effect on followers' attitudes toward advertising and products, and product involvement influences its moderation. PSI has salient positive effects on followers' attitudes and behavioral intention, regardless of high/low product involvement. Brand credibility mediates PSI's influence on celebrity endorsement.Research limitations/implicationsThe results reinforce the significant effect of PSI on endorsement effectiveness and brand credibility, show the influence of brand credibility and product involvement and show how their influence conditionally interacts with others.Practical implicationsThe corporate advertiser should prefer a high PSI celebrity as their endorser. The advertising message design on the microblog also deserves the attention of advertisers.Originality/valueThis study is the primary attempt to construct an integral model to demonstrate the synthetic effect and interaction process of consumers' perception of the endorser, brand and product category factors on celebrity endorsement within the social media context.
Gender and age differences in the relationship between calorie, macronutrients intake and growth status of school-aged Aboriginal children at Labu, Negeri Sembilan
Authors: Kuralneethi Silambarasi , Sariman Sarina , Ulaganathan Vaidehi 
Published: November 2020

PurposeThis study aimed to determine the relationship between calorie and macronutrients intake and the growth status of Aboriginal children based on gender and age group.Design/methodology/approachThis was a cross-sectional study participated by 85 school-aged Aboriginal children at Labu, Negeri Sembilan. The dietary intake and socioeconomic status data were collected from the parents using an interviewer administrated structured-questionnaire and 24-hour dietary recall. WHO AnthroPlus software was used to determine the z-score of weight for age (WAZ), height for age (HAZ) and body mass index (BMI) for age (BAZ).FindingsThe mean fat intake was significantly higher among younger children (i.e. 7–9 years old) as compared to elder children (i.e. 10–12 years old) (40.7 ± 17.3 g vs 32.0 ± 13.8 g; t = 2.496, p = 0.015) but not for the mean intake of calorie (1816.1 ± 979.9 kcal vs 1566.3 ± 808.7 kcal; t = 1.248, p = 0.216), protein (50.13 ± 20.08 g vs 44.94 ± 16.45 g; t = 1.269, p = 0.208) and carbohydrates (198.0 ± 63.0 g vs 190.8 ± 66.1 g; t = 0.513, p = 0.609). The majority of the respondents did not meet recommended nutrient intake (RNI) for the calorie (65.9%) and fat (75.3%). A significantly higher proportion of elder children did not meet RNI for fat as compared to younger children (88.8% vs 65.3%; X2 = 6.21, p = 0.021). The HAZ showed that 28.2% (n = 24) of the Aboriginal children were stunted, while WAZ showed that 14.8% (n = 9) of the Aboriginal students were underweight, and 8.2% of them were overweight. Based on BAZ classification, 15.4% (n = 6) of boys and 2.2% (n = 1) of girls were overweight. There is no significant correlation between calories and macronutrients and growth status of the children.Originality/valueAlthough the under-nutrition status among Aboriginal children is still a highlighted issue, the few over-nutrition statuses among Aborigines should be taken into count, especially in term of energy and macronutrient intake.
Supply chain integration and Industry 4.0: a systematic literature review
Authors: Tiwari Saurabh 
Published: November 2020

PurposeThe current industrial revolution is powered by data, which is also referred as Industry 4.0. The Industry 4.0 has attracted significant attention from academia and the industry professionals. The supply chain integration (SCI) has played a significant role in enhancing supply chain performance and organizational performance. This study explores the relationship between Industry 4.0 and SCI via an extensive literature review to understand the various levels of integration with the supply chain processes and to identify missing links, through a framework, and suggest further research directions.Design/methodology/approachIn this paper, we have used systematic literature review approach to identify the building blocks of the conceptual framework, which is the main contribution of the present study. We have used Scopus database to search literature using keywords.FindingsThe study offers some interesting insights that may help scholars to advance theoretical debates. Moreover, the study also provides interesting direction to the practitioners engaged in supply chain management in data-driven environment. In this study, we have proposed a conceptual framework for the adoption of Industry 4.0 and SCI.Research limitations/implicationsIn this study we have proposed a conceptual framework. However, the framework is yet to be empirically tested. Hence, we caution readers to evaluate the findings of the present study in context to its limitations. This is an attempt to develop a conceptual framework which may be tested using longitudinal data.Originality/valueThe present work helps in integrating two independent subjects', i.e. Industry 4.0 and SCI. The theoretical framework presented here integrates Industry 4.0 and SCI which can be useful to the practitioners and policymakers engaged in implementing Industry 4.0.
Bölen: software module clustering method using the combination of shuffled frog leaping and genetic algorithm
Authors: Arasteh Bahman , Sadegi Razieh , Arasteh Keyvan 
Published: November 2020

PurposeSoftware module clustering is one of the reverse engineering techniques, which is considered to be an effective technique for presenting software architecture and structural information. The objective of clustering software modules is to achieve minimum coupling among different clusters and create maximum cohesion among the modules of each cluster. Finding the best clustering is considered to be a multi-objective N-P hard optimization-problem, and for solving this problem, different meta-heuristic algorithms have been previously proposed. Achieving higher module lustering quality (MQ), obtaining higher success rate for achieving the best clustering quality and improving convergence speed are the main objectives of this study.Design/methodology/approachIn this study, a method (Bölen) is proposed for clustering software modules which combines the two algorithms of shuffled frog leaping and genetic algorithm.FindingsThe results of conducted experiments using traditional data sets confirm that the proposed method outperforms the previous methods in terms of convergence speed, module clustering quality and stability of the results.Originality/valueThe study proposes SFLA_GA algorithm for optimizing software module clustering, implementing SFLA algorithm in a discrete form by two operators of the genetic algorithm and achieving the above-mentioned purposes in this study. The aim is to achieve higher performance of the proposed algorithm in comparison with other algorithms.
Assessment of the cybersecurity vulnerability of construction networks
Authors: Mantha Bharadwaj R.K. , García de Soto Borja 
Published: November 2020

PurposeThe aim of this study is o examine the advantages and disadvantages of different existing scoring systems in the cybersecurity domain and their applicability to the AEC industry and to systematically apply a scoring system to determine scores for some of the most significant construction participants.Design/methodology/approachThis study proposes a methodology that uses the Common Vulnerability Scoring System (CVSS) to calculate scores and the likelihood of occurrence based on communication frequencies to ultimately determine risk categories for different paths in a construction network. As a proof of concept, the proposed methodology is implemented in a construction network from a real project found in the literature.FindingsResults show that the proposed methodology could provide valuable information to assist project participants to assess the overall cybersecurity vulnerability of construction and assist during the vulnerability-management processes. For example, a project owner can use this information to get a better understanding of what to do to limit its vulnerability, which will lead to the overall improvement of the security of the construction network.Research limitations/implicationsIt has to be noted that the scoring systems, the scores and categories adopted in the study need not necessarily be an exact representation of all the construction participants or networks. Therefore, caution should be exercised to avoid generalizing the results of this study.Practical implicationsThe proposed methodology can provide valuable information and assist project participants to assess the overall cyber-vulnerability of construction projects and support the vulnerability-management processes. For example, a project owner can use this approach to get a better understanding of what to do to limit its cyber-vulnerability exposure, which will ultimately lead to the overall improvement of the construction network's security. This study will also help raise more awareness about the cybersecurity implications of the digitalization and automation of the AEC industry among practitioners and construction researchers.Social implicationsGiven the amount of digitized services and tools used in the AEC industry, cybersecurity is increasingly becoming critical for society in general. In some cases, (e.g. critical infrastructure) incidents could have significant economic and societal or public safety implications. Therefore, proper consideration and action from the AEC research community and industry are needed.Originality/valueTo the authors' knowledge, this is the first attempt to measure and assess the cybersecurity of individual participants and the construction network as a whole by using the Common Vulnerability Scoring System.
VillageReach: innovating for improved health care at the “last mile”
Authors: Schweer Rayner Cynthia , Thorogood Camilla , Bonnici Francois 
Published: November 2020

Learning outcomes
The learning outcomes are to understand the definition of public value and the strategic drivers behind public value creation, understand the nature of social innovation in the public sector, identify the critical opportunities and challenges involved in sustaining innovation in the public sector and identify the role that non-profit organizations can play in supporting and sustaining social innovation.

Case overview/synopsis
This case puts participants in the shoes of a global health innovator’s leadership team as the organization approaches a funding crisis. The organization, VillageReach, is on a quest to expand across the public health system of Mozambique and experiences a funding dilemma. The case reveals the challenges of working with governments to achieve large-scale, systemic change. It explores the conundrum of using international donor funding to embed new practices in government service delivery. Ultimately, it asks participants to choose between the pursuit of new, small-scale innovative projects and the large-scale rollout of a national programme.

Complexity academic level
This teaching case is written for courses focused on social entrepreneurship, social innovation and social change. It can also be used in courses focused on non-profit management and public sector innovation. Specifically, the teaching case is suitable for two audiences: social enterprise and non-profit managers focused on strategy, development and operations (the case focuses on an enterprise that relies primarily on donor funding) and health-care managers and administrators. Generally, the case is suitable for undergraduates in their final year of study as well as graduate-level business and public administration courses, including MBA, MPH, MPA, EMBA and Executive Education courses.

Supplementary materials
Teaching Notes are available for educators only.

Subject code
CSS 3: Entrepreneurship.
Identification of phishing websites through hyperlink analysis and rule extraction
Authors: Wang Chaoqun , Hu Zhongyi , Chiong Raymond , Bao Yukun , Wu Jiang 
Published: November 2020

Purpose
The aim of this study is to propose an efficient rule extraction and integration approach for identifying phishing websites. The proposed approach can elucidate patterns of phishing websites and identify them accurately.

Design/methodology/approach
Hyperlink indicators along with URL-based features are used to build the identification model. In the proposed approach, very simple rules are first extracted based on individual features to provide meaningful and easy-to-understand rules. Then, the F-measure score is used to select high-quality rules for identifying phishing websites. To construct a reliable and promising phishing website identification model, the selected rules are integrated using a simple neural network model.

Findings
Experiments conducted using self-collected and benchmark data sets show that the proposed approach outperforms 16 commonly used classifiers (including seven non–rule-based and four rule-based classifiers as well as five deep learning models) in terms of interpretability and identification performance.

Originality/value
Investigating patterns of phishing websites based on hyperlink indicators using the efficient rule-based approach is innovative. It is not only helpful for identifying phishing websites, but also beneficial for extracting simple and understandable rules.
Technology business incubators in India: what determines their R&D contributions to the national economy?
Authors: Mungila Hillemane Bala Subrahmanya 
Published: November 2020

Purpose
The purpose of this study is to explore how do the characteristics of technology business incubators (TBIs), their chief executive officers, selection process and incubation process influence their research and development (R&D) contributions to the national economy.

Design/methodology/approach
These research questions are probed based on primary data gathered from 65 TBIs located in Bangalore, Chennai and Hyderabad, 3 of the leading start-up hubs of India comprising 9 accelerators, 31 incubators and 25 co-working spaces. Stepwise (backward elimination) regression method has been applied for six regression models for the analysis of research objectives.

Findings
Incubators more than accelerators and co-working spaces have incurred R&D investments for infrastructure development and hired exclusive R&D personnel. External networks and size of incubators in terms of number of incubatees are decisive for R&D investments and new products/services. TBIs accounted for a negligible share of patents relative to the number of new products/services generated in these TBIs, thereby indicating “low level of novelty/innovativeness” of new products/services. However, both new products/services and patent applications are crucial for revenue generation, implying that the generated new products/services are able to penetrate the market and patent application submission can act as a “signal” to the market.

Research limitations/implications
The overall research findings portend that there is scope and potential for an increasing R&D contribution to emerge from the TBIs along with their incubated start-ups, to supplement the national R&D efforts in India in the future. The emphasis, of course, has to be more on strengthening the innovation ecosystem through TBIs by means of industry–institute partnerships.

Practical implications
This study’s practical implications refer to the need to promote TBIs as a means of strengthening regional innovation systems in developing economies.

Social implications
TBIs can be a means of nurturing tech start-ups for generating employment and income in regional economies.

Originality/value
This is a first of its kind study with reference to an emerging economy exploring to understand the extent of R&D contributions emerging from TBIs, which have been promoted on an increasing scale across the country as a means of nurturing technology start-ups.
Automated terrain mapping based on mask R-CNN neural network
Authors: Saveliev Anton , Aksamentov Egor , Karasev Evgenii 
Published: November 2020

PurposeThe purpose of this paper is to analyze the development of a novel approach for automated terrain mapping a robotic vehicles path tracing.Design/methodology/approachThe approach includes stitching of images, obtained from unmanned aerial vehicle, based on ORB descriptors, into an orthomosaic image and the GPS-coordinates are binded to the corresponding pixels of the map. The obtained image is fed to a neural network MASK R-CNN for detection and classification regions, which are potentially dangerous for robotic vehicles motion. To visualize the obtained map and obstacles on it, the authors propose their own application architecture. Users can any time edit the present areas or add new ones, which are not intended for robotic vehicles traffic. Then the GPS-coordinates of these areas are passed to robotic vehicles and the optimal route is traced based on this dataFindingsThe developed approach allows revealing impassable regions on terrain map and associating them with GPS-coordinates, whereas these regions can be edited by the user.Practical implicationsThe total duration of the algorithm, including the step with Mask R-CNN network on the same dataset of 120 items was 7.5 s.Originality/valueCreating an orthophotomap from 120 images with image resolution of 470 × 425 px requires less than 6 s on a laptop with moderate computing power, what justifies using such algorithms in the field without any powerful and expensive hardware.
The impact of digital logistics start-ups on incumbent firms: a business model perspective
Authors: Mikl Jasmin , Herold David M. , Ćwiklicki Marek , Kummer Sebastian 
Published: November 2020

PurposeDigital freight forwarder (DFF) start-ups and their associated business models have gained increasing attention within both academia and industry. However, there is a lack of empirical research investigating the differences between DFFs and traditional freight forwarders (TFF) and the impact of digital start-ups on incumbents' companies. In response, this study aims to examine the key business model characteristics that determine DFFs and TFFs and propose a framework illustrating the extent to which digital logistics start-ups influence incumbent logistics companies.Design/methodology/approachBased on the primary data gathered from eight interviews with experts from start-ups' and incumbents' logistics companies, as well as secondary data, the authors identify the main factors of DFFs start-ups that have an impact on TFFs and analyze the similarities and differences in regard to the business model components' value proposition, value creation, value delivery and value capture.FindingsThe results show that differences between DFFs and TFFs appear in all four business models' components: value proposition, value creation, value delivery and value capture. In particular, the authors identify three main factors that need to be considered when assessing the impact of DFFs on TFFs: (1) the company size, (2) the market cultivation strategy and (3) the transport mode.Originality/valueThis is one of the first studies to specifically examine the key business model differences between DFFs and TFFs and to propose a conceptual framework for understanding the impact of digital logistics start-ups on incumbent companies.
National Standards for school-based mentors: the potential to recognise the “Cinderella” role of mentoring?
Authors: Murtagh Lisa , Dawes Louisa 
Published: November 2020

PurposeThe purpose of this paper is to explore school-based mentors' perceptions of the non-statutory National Standards for school-based initial teacher training (ITT) mentors in England.Design/methodology/approachTaking the form of a qualitative survey, the paper explores the views of mentors in relation to the potential use of the National Standards in supporting the mentoring role and in enhancing the experiences of pre-service teachers during school placements.FindingsThe paper reports that the National Standards have the potential to support the role of mentoring in ITT if used in ways that support mentor recognition and reward.Practical implicationsIn the absence of any common training model for mentors in England, there is potential that the National Standards could offer mentors some guidance for the role to support more equitable experiences for pre-service teachers.Originality/valueThe paper contributes to the field since it accesses mentor voices about matters that involve them. The paper draws attention to the impoverished representation of mentoring in the National Standards, whilst paradoxically noting that in the absence of any common mentoring framework, mentors perceive that the standards could offer some support for mentors and mentees alike.
Performance management of SMEs: a systematic literature review for antecedents and moderators
Authors: Kafetzopoulos Dimitrios 
Published: November 2020

PurposeThe purpose of this study is to gain insight into existing empirical studies on performance management of small and medium-sized enterprises (SMEs). It categorizes the main antecedents for SMEs’ performance, the dimensions of SMEs’ performance and all variables used as moderators in the conceptual relationships.Design/methodology/approachThis study undertakes a systematic literature review of 58 articles published in 33 peer-reviewed academic journals from 2000 to 2020 followed by a synthesis of individual studies to analyze the trends and background of research into SMEs.FindingsA new academic conceptual model was developed grounded in selected theoretical lenses to advance our understanding of the different categories of antecedents, moderators and SMEs’ performance dimensions.Research limitations/implicationsThe author has provided a future research agenda in the context of SMEs. Future studies may investigate the role of different categories of determinants, the influence of key cultural values, the digital capability in SMEs and the Internet in the internationalization of SMEs.Practical implicationsThis paper offers a framework for both practitioners and scholars in thinking about those factors that may be critical for success in SMEs.Originality/valueThis is a systematic review that suggests a new conceptual model of what existing empirical studies have found on SMEs. It can be used to influence thinking and research design in the area of SMEs’ performance and success.