bluuebunny/crossref_metadata_2025_split huggingface dataset:
Developing a measurement scale for employee engagement: a validation study in a South Korean context
Authors: So Byung Han , Kim Ji Hyun , Ro Yun Jeong , Song Ji Hoon 
Published: July 2021

PurposeThe purpose of this paper is to develop a reliable and valid measurement scale of employee engagement that can be used in human resources departments in any industry field.Design/methodology/approachThis study used the measurement development process with three steps. The first step was to generate items for measuring employee engagement. For this reason, the authors proposed an integrated conceptual model based on the results of a literature review and justify the concepts from self-determination theory and person-environment fit theory as the theoretical foundation. The second step was to determine the types of questions suitable for measurement, examining the content validity. Content validity was conducted two times by the group, academic experts and business practitioners. The last step was to examine the exploratory factor analysis (EFA), confirmatory factor analysis (CFA), multi-group analysis and reliability with 352 survey responses from the South Korean business context.FindingsFindings of the measurement scale development procedure, i.e. employee engagement, should be managed in a balanced manner in all dimensions, as it is composed of four dimensions (person engagement, work engagement, organization engagement and relation engagement) and 16 sub-factors. Additionally, organization engagement was the major factor among the four dimensions of employee engagement with the highest variance explanation. From the statistical standpoint, the employee engagement scale (EES) is possible to use in any industry field because it demonstrated not only content validity and internal consistency reliability but also the three steps of factor analysis (EFA, CFA and multi-group analysis).Research limitations/implicationsThis survey was conducted with an assistant manager located in Korea. Therefore, it will be necessary to analyze both leader and employee engagement for those who live in foreign countries. The EES is useful to leaders and human resource managers because it is applicable to managing engagement levels of employees and fosters customized training programs.Originality/valueThis is the first study to develop measurement tools for employee engagement in South Korea. In addition, most studies demonstrated that individual feeling was valued to drive employee engagement. This research, however, proposes an extended concept of employee engagement for four dimensions (person, work, relation and organization) and emphasizes the important relationship between individuals and colleagues in an organization. Based on these results, a theoretically integrated model of employee engagement was developed and a practically valid measurement tool for capturing comprehensive domains of employee engagement was proposed.
Construction of metadata database structured by conceptual elements of text structure and semantic search evaluation of Korean studies
Authors: Ko Young Man , Song Min Sun , Lee Seung Jun 
Published: July 2021

Purpose
This study aims to develop metadata of conceptual elements based on the text structure of research articles on Korean studies, to propose a search algorithm that reflects the combination of semantically relevant data in accordance with the search intention of research paper and to examine the algorithm whether there is a difference in the intention-based search results.

Design/methodology/approach
This study constructed a metadata database of 5,007 research articles on Korean studies arranged by conceptual elements of text structure and developed F1(w)-score weighted to conceptual elements based on the F1-score and the number of data points from each element. This study evaluated the algorithm by comparing search results of the F1(w)-score algorithm with those of the Term Frequency- Inverse Document Frequency (TF-IDF) algorithm and simple keyword search.

Findings
The authors find that the higher the F1(w)-score, the closer the semantic relevance of search intention. Furthermore, F1(w)-score generated search results were more closely related to the search intention than those of TF-IDF and simple keyword search.

Research limitations/implications
Even though the F1(w)-score was developed in this study to evaluate the search results of metadata database structured by conceptual elements of text structure of Korean studies, the algorithm can be used as a tool for searching the database which is a tuning process of weighting required.

Practical implications
A metadata database based on text structure and a search method based on weights of metadata elements – F1(w)-score – can be useful for interdisciplinary studies, especially for semantic search in regional studies.

Originality/value
This paper presents a methodology for supporting IR using F1(w)-score—a novel model for weighting metadata elements based on text structure. The F1(w)-score-based search results show the combination of semantically relevant data, which are otherwise difficult to search for using similarity of search words.
Multilevel comprehension for labor market inclusion: a qualitative study on experts' perspectives on Industry 4.0 competences
Authors: Tommasi Francesco , Perini Marco , Sartori Riccardo 
Published: July 2021

PurposeGiven the exponential and massive technological disruption in work that Industry 4.0 will lead to, nowadays, authors and practitioners within the field of education and training are witnessing increased attention on the features of and threats to employability and integration in current labor transformations. The purpose of this paper is to address current education and training challenges as related to the fourth industrial revolution by investigating which skills and competences will be crucial for the 4.0 era.Design/methodology/approachA qualitative field study with semi-structured interviews has been conducted. Qualitative data on a sample of N = 16 vocational training experts has been analyzed via the grounded theory approach for a bottom-up perspective on Industry 4.0 competences.FindingsData analysis revealed a partial consensus between current scientific literature and practitioners' views on skills and competences for Industry 4.0. Indeed, practioners support the need for a mix of competences comprising the broad group of disciplines of STEM (science, technology, engineering, and mathematics), technical skills and transversal competences. Moreover, the perspective of practitioners supports a multilevel comprehension of the needs of Industry 4.0 for education and training. Drawing on these findings, an evaluation tool for an applied field intervention for inclusion in the labor market is proposed.Originality/valueThe paper advances current knowledge within the field of education and training by proposing a novel perspective to address market integration as a means to tackle the risk of technological disruption.
Subjective satisfaction and objective electricity poverty reduction in Vietnam, 2008–2018
Authors: Ha-Duong Minh , Nguyen Hoai-Son 
Published: July 2021

PurposeThe authors estimate the reduction of electricity poverty in Vietnam. The essential argument is that human development is about subjective feeling as much as technology and income.Design/methodology/approachThe authors use a self-reported satisfaction indicator as complementary to objective indicators based on national household surveys from 2008 to 2018.FindingsIn 2010, the fraction of households with access to electricity was over 96%. However, over 24% declared their electricity use did not meet their needs. Since 2014, the satisfaction rate is around 97%, even if 25% of the households used less than 50 kWh/month. Today there is electricity for all in Vietnam, but electricity bills weigh more and more in the budget of households.Practical implicationsThe subjective energy poverty measure allows better international statistics: unlike poverty or needs-based criteria, self-assessed satisfaction of needs compares across income levels and climates.Social implicationsInequalities in electricity use among Vietnamese households decreased during the 2008–2018 period, but are not greater than inequalities in income, contrary to the findings of Son and Yoon (2020).Originality/valueEngineering and econometric objectivist approaches dominate the literature on sustainability monitoring. Out of 232 sustainable development goal (SDG) indicators, only two are subjective. Yet the findings show that subjective indicators tell a different part of the story. Access is not grid building, but the meaningful provision of electricity to satisfy the needs.
An optimal communication in WSN enabled by fuzzy clustering and improved meta-heuristic model
Authors: Alekya Rani Yerra Readdy , Sreenivasa Reddy Edara 
Published: July 2021

Purpose
Wireless sensor networks (WSN) have been widely adopted for various applications due to their properties of pervasive computing. It is necessary to prolong the WSN lifetime; it avails its benefit for a long time. WSN lifetime may vary according to the applications, and in most cases, it is considered as the time to the death of the first node in the module. Clustering has been one of the successful strategies for increasing the effectiveness of the network, as it selects the appropriate cluster head (CH) for communication. However, most clustering protocols are based on probabilistic schemes, which may create two CH for a single cluster group, leading to cause more energy consumption. Hence, it is necessary to build up a clustering strategy with the improved properties for the CH selection. The purpose of this paper is to provide better convergence for large simulation space and to use it for optimizing the communication path of WSN.

Design/methodology/approach
This paper plans to develop a new clustering protocol in WSN using fuzzy clustering and an improved meta-heuristic algorithm. The fuzzy clustering approach is adopted for performing the clustering of nodes with respective fuzzy centroid by using the input constraints such as signal-to-interference-plus-noise ratio (SINR), load and residual energy, between the CHs and nodes. After the cluster formation, the combined utility function is used to refine the CH selection. The CH is determined based on computing the combined utility function, in which the node attaining the maximum combined utility function is selected as the CH. After the clustering and CH formation, the optimal communication between the CH and the nodes is induced by a new meta-heuristic algorithm called Fitness updated Crow Search Algorithm (FU-CSA). This optimal communication is accomplished by concerning a multi-objective function with constraints with residual energy and the distance between the nodes. Finally, the simulation results show that the proposed technique enhances the network lifetime and energy efficiency when compared to the state-of-the-art techniques.

Findings
The proposed Fuzzy+FU-CSA algorithm has achieved low-cost function values of 48% to Fuzzy+Particle Swarm Optimization (PSO), 60% to Fuzzy+Grey Wolf Optimizer (GWO), 40% to Fuzzy+Whale Optimization Algorithm (WOA) and 25% to Fuzzy+CSA, respectively. Thus, the results prove that the proposed Fuzzy+FU-CSA has the optimal performance than the other algorithms, and thus provides a high network lifetime and energy.

Originality/value
For the efficient clustering and the CH selection, a combined utility function was developed by using the network parameters such as energy, load, SINR and distance. The fuzzy clustering uses the constraint inputs such as residual energy, load and SINR for clustering the nodes of WSN. This work had developed an FU-CSA algorithm for the selection of the optimal communication path for the WSN.
I think I like this: assessing conscious versus subconscious wine taste responses using neuroscientific techniques
Authors: Robertson Jeandri , Ferreira Caitlin , Reyneke Mignon , Rosenstein David 
Published: July 2021

PurposeThis methodological paper aims to demonstrate the potential benefits of using consumer neuroscientific methodologies to measure consumers’ subconscious responses when consuming wine during a taste experiment. By comparing conscious and subconscious evaluations during a tasting experience this study illustrates how this methodology offers a more nuanced understanding of the consumer evaluation of wine during a consumption experience.Design/methodology/approachThe research made use of a single-case taste test experiment whereby a wine expert blind-tasted 20 white wine varietals. Throughout each tasting, subconscious responses were measured using electroencephalography (EEG), combined with conscious measures of stated preferences using a questionnaire.FindingsStark differences were observed between the results of the conscious and subconscious wine evaluation measures, underscoring the complex nature of consumer decision-making and preference development. This study practically demonstrates the use and value of EEG as a consumer neuroscientific methodology in a wine marketing context.Originality/valueThis paper demonstrates the value of neuroscience techniques in identifying differences in the conscious and subconscious wine evaluation measures. This study practically demonstrates the use and value of EEG as a consumer neuroscientific methodology in a wine marketing context.
Contagion risk: cases of Islamic and emerging market banks
Authors: Yoon Da-Eun , Choudhury Tonmoy , Saha Anup Kumar , Rashid Mamunur 
Published: July 2021

Purpose
Globally influential Islamic banks from the Middle East and Southeast Asia carry voluminous correspondence banking with banks from China and India, leading to potential spillover effect of contagion among the banks from these regions. This study aims to investigate the Islamic banks systemic risk contagion with major banks from China and India.

Design/methodology/approach
Having the option pricing theory in the backdrop, the authors calculated three different distance to risk measurements (default, insolvency and capital). The authors have included top six listed globally influential Islamic banks, top seven Indian banks and top eight Chinese banks based on their net asset value. They then measured the banks’ extreme shocks based on the extreme value theory by using the logistic regression model. These extreme shocks helped the authors to map the spillover among the selected banks from multiple regions.

Findings
The authors have found strong evidences of directional risk spillover among the banks in this sample. Islamic banks are receiving a significant risk spillover from the other sample banks but transmitting less toward the other banks from India and China. Hence, there is strong one-directional risk contagion toward the Islamic banks in the study sample.

Practical implications
This research would be particularly useful to the regulators and bankers from emerging and Islamic markets to understand the conniving nature of the crisis by effectively mapping the source, destination and implementation of the shock transmission mechanism of the potential financial contagion.

Originality/value
Even though the corresponding banking among the top Islamic banks from the Middle East and Southeast Asian countries, and banks from India and China, is on the rise, the assessment of risk among these banks has been limited. In particular, the authors extended on the extreme value theory to focus on the wider impact of spillover, including significant direction of contagion from non-Islamic banks to Islamic banks.
Completeness based classification algorithm: a novel approach for educational semantic data completeness assessment
Authors: Akhrif Ouidad , Benfaress Chaymae , EL Jai Mostapha , El Bouzekri El Idrissi Youness , Hmina Nabil 
Published: July 2021

Purpose
The purpose of this paper is to reveal the smart collaborative learning service. This concept aims to build teams of learners based on the complementarity of their skills, allowing flexible participation and offering interdisciplinary collaboration opportunities for all the learners. The success of this environment is related to predict efficient collaboration between the different teammates, allowing a smartly sharing knowledge in the Smart University environment.

Design/methodology/approach
A random forest (RF) approach is proposed, which is based on semantic modelization of the learner and the problem-solving allowing multidisciplinary collaboration, and heuristic completeness processing to build complementary teams. To achieve that, this paper established a Konstanz Information Miner workflow that integrates the main steps for building and evaluating the RF classifier, this workflow is divided into: extracting knowledge from the smart collaborative learning ontology, calculating the completeness using a novel heuristic and building the RF classifier.

Findings
The smart collaborative learning service enables efficient collaboration and democratized sharing of knowledge between learners, by using a semantic support decision support system. This service solves a frequent issue related to the composition of learning groups to serve pedagogical perspectives.

Originality/value
The present study harmonizes the integration of ontology, a new heuristic processing and supervised machine learning algorithm aiming at building an intelligent collaborative learning service that includes a qualified classifier of complementary teams of learners.
Broader outcomes in procurement policy – a case of New Zealand pragmatism
Authors: Allen Barbara 
Published: July 2021

Purpose
The purpose of this paper is to investigate how the underpinning ideas of public procurement allowed for broader outcomes – a more strategic form of public procurement – to emerge. The paper contributes to the literature on public procurement by empirically addressing the evolution of procurement as a government policy lever in New Zealand so as to demonstrate how policy pragmatism can ensure a shift without a complete overhaul of a complex system.

Design/methodology/approach
The paper has used a single country case study to examine a recent development in procurement policy. The objectives of the paper are achieved by adopting a unique conceptual framework connecting ideas, sensemaking and bricolage.

Findings
The paper provides empirical and conceptual insights about how bricolage, or policy pragmatism, aids in dealing with the constraints of ideational legacies. It demonstrates a particular form of targeting in procurement, common in public administration but not well understood in the procurement field.

Research limitations/implications
Single country case studies lack scientific generalizability. However, they add to the canon of knowledge that is lacking in the field of public procurement in this case. They also provide a stronger starting point for further research especially with respect to comparative studies.

Practical implications
The paper provides an excellent example of the development of procurement policy that is useful for procurement officials from other countries undergoing change or looking to update or create procurement policies. It shows a high-level process of implementation for government priority outcomes from a country well-known for its quality of public management and governance.

Social implications
New Zealand has significant equity issues especially as related to its indigenous population. Procurement is being used increasingly as a lever to improve equity. This article includes information about New Zealand's uptake of social procurement.

Originality/value
This paper fulfils a need for greater understanding of how policy is “put together” and the dynamics at major points of change or the implications of policy changes. To the best of the author’s knowledge, this case study of procurement policy in New Zealand is original, and the author is aware of no other similar work emanating from New Zealand in the academic journals.
Factors associated with the salt intake behaviors in women in a high-salt intake setting
Authors: Chenary Roghayeh , Karimi-Shahanjarini Akram , Bashirian Saeid , Roshanaei Ghodratollah , Fazaeli Ali Akbar , Jalilian Mohsen 
Published: July 2021

Purpose
The high prevalence of hypertension is a significant concern worldwide. A decrease in salt intake is a well-known strategy to control hypertension and reduce the risk of cardiovascular diseases. Little is known about the factors influencing salt intake behaviors in settings such as Iran where consumption of salt is higher than the recommended amount. The purpose of this study was to find out what factors affect three salt intake behaviors among women: adding salt when cooking, adding salt to prepared food at the table and purchasing salty foods.

Design/methodology/approach
A community-wide cross-sectional survey of 516 women was conducted in Ilam, Iran. Participants were recruited using the cluster random sampling method. The survey included behaviors and variables of an expanded theory of planned behavior. The hypothesized relationships were investigated using structural equation modeling.

Findings
Perceived behavioral control (PBC) (p < 0.001) and habit (p = 0.01) appeared to be significant factors of adding salt when cooking. Determinants of adding salt to food at the table were intention (p < 0.001), PBC (p < 0.001), habit (p < 0.001). Also, PBC (p < 0.001), intention (p < 0.001), habit (p < 0.001) were identified as predictors of the purchase of salty foods. The results did not support the moderating role of Hedonic feeling to salt on the relation between intention and behaviors.

Originality/value
This study would be applicable to develop salt reduction interventions. Because altering the hedonic response to food is difficult, the lack of its moderating role could be a promising finding for developing salt reduction interventions.
Leading Machiavellians on the road to better organizational behavior
Authors: Shah Syed Imad , Shahjehan Asad , Afsar Bilal 
Published: July 2021

PurposeStudies highlighting negative behavioral influences of Machiavellians are plentiful; however, those prescribing their management are scarce. Machiavellians are intelligent, adaptable and resourceful people with negative, self-serving and unethical persona traits. Their abundance in organizations poses a challenge for managers in minimizing negative consequences of Machiavellian's manipulative behaviors and tap into their true potential. Leadership can play a crucial role in this regard. This purpose of this paper is to investigate the moderating effects of transformational leadership (TFL) versus transactional leadership (TSL) styles on the relationship between subordinates' Machiavellianism and their organizational citizenship behavior (OCB) and counterproductive work behavior (CWB). The aim was to highlight the style that better adept in managing high-Mach subordinates.Design/methodology/approachThis cross-sectional study used multiple surveys administered to 90 managers and their 269 subordinates from 56 organizations. Multiple regression was used for testing and hypothesize linear and supplementary nonlinear relationships between the study variables.FindingsAfter a detailed data analysis, authors posit that, as compared to TFL, the TSL style is better suited for managing Machiavellian subordinates.Practical implicationsBy employing transactional tactics, leaders can reign in the divergent behavior of Machiavellians, thus, transforming them into useful organizational assets.Originality/valueThis study expands on limited body of knowledge on managing Machiavellians. It advocates using TSL for improving the OCB of Machiavellians while countering their CWBs. Furthermore, this study contributes to transactional/transformational theories as it lends credence to the situational theory of leadership.