bluuebunny/crossref_metadata_2025_split huggingface dataset:
Operation policy of multi-capacity logistic robots in hotel industry
Authors: Lee Woojin , Ko Young Dae 
Published: April 2021

Purpose
This paper aims to propose an operation policy of multi-capacity room service robots traveling within a hotel. As multi-capacity robots can serve many requests in a single trip, improved operation policy can reduce the investment cost of robots.

Design/methodology/approach
Using a mathematical model-based optimization technique, an optimal set of robots with minimum installation cost is derived while serving the entire room service demands. Through testing a variety of scenarios by changing the price and function of robots to be installed, insights that consider the various situations are offered.

Findings
Though the increase in capacity saves much time for room service at a lower capacity level, the amount of time saved gradually decreases as the capacity increases. Besides, the installation strategy is divided into two cases depending on the purchase cost of robots.

Research limitations/implications
Currently, the studies focusing on the adoption of service robots from an operations view are rarely be found. To reduce the burden of investment cost, this study takes the unique approach to improve the operation policy of service robots by using the multi-capacity robots.

Practical implications
This study guides the hotel to install an adequate set of robots. The result confirms that the optimal installation set of robots is affected by various factors, such as the room service information, the hotel structure and the unit execution cycle.

Originality/value
After the outbreak of COVID-19, people avoid face-to-face contact and interest in non-contact service is growing. This paper deals with the efficient way to implement non-contact delivery through logistic robots, a timely and important topic.
Stand by me: analyzing the tourist–intelligent voice assistant relationship quality
Authors: Loureiro Sandra Maria Correia , Japutra Arnold , Molinillo Sebastian , Bilro Ricardo Godinho 
Published: April 2021

Purpose
This paper aims to explore tourist perceived value and attachment to intelligent voice assistants (IVAs) as antecedents of the quality of the human–IVA relationship in the hospitality domain. This research also examines the moderating role of psychological factors (self-esteem) and knowledge factors (past experience and technology expertise) in the relationships between antecedents and relationship quality.

Design/methodology/approach
The researchers conducted two quantitative studies, collecting data via online surveys in Mechanical Turk (n1 = 124 and n2 = 281). The proposed model was tested using partial least squares structural equation modeling.

Findings
The first study uncovers that tourist perceived value is the main influence on the quality of the relationship between tourists and IVAs. The second study confirms the direct relationships of the first and shows that self-esteem and technology expertise act as moderators.

Practical implications
This study advances the understanding of the tourism and hospitality stakeholders in using modern technologies (e.g. IVAs). Through comprehending the relationship building between individuals and IVAs, the stakeholders will be able to craft better strategies.

Originality/value
The study extends the attachment and social exchange theories to the tourist–IVA relationship context. Specifically, this research demonstrates the impact of tourist perceived value on the quality of the relationship with the IVA. It also points out that tourists’ self-esteem and technology expertise can weaken the tourist–IVA relationship.
Add fuel to the fire: investigating the relationship between leader group prototypicality and intergroup conflict
Authors: Liang Yongyi , Wang Haibo , Yan Ming , Xie Jun 
Published: April 2021

PurposeThis study aims to investigate the relationship between leader group prototypicality and intergroup conflict, as well as its mechanisms and contextual factors using the social identity theory.Design/methodology/approachThe research model was empirically tested using multi-phase, multi-source and multilevel survey data in China. The final sample consisted of 75 group leaders and 231 group members. Multilevel structural equation modelling and a Monte Carlo simulation were used for hypothesis testing.FindingsThe results showed that leader group prototypicality would engender intergroup conflict via intergroup distinctiveness. Further, leaders’ benchmarking behaviour moderated this indirect effect. In particular, leader group prototypicality resulted in higher intergroup distinctiveness and intergroup conflict, only when the leaders’ benchmarking behaviour was higher rather than lower.Originality/valueFirst, this study addresses the question of whether leader group prototypicality would lead to intergroup conflict to provide theoretical and empirical insights to supplement extant literature. Second, the study advances the understanding of mechanisms (intergroup distinctiveness) and the consequences (intergroup conflict) of leader group prototypicality in an intergroup context. Third, the study shows that leaders’ benchmarking behaviour moderates the effect of leader group prototypicality on intergroup conflict through intergroup distinctiveness. As such, the findings are of value to future management practice by offering precise, practical interventions to manage the intergroup conflict caused by leader group prototypicality.
Challenges and opportunities for social entrepreneurs in civil engineering in Brazil
Authors: Vasconcellos Ernesto Ferreira , Leso Bernardo Henrique , Cortimiglia Marcelo Nogueira 
Published: April 2021

Purpose
This paper aims to identify challenges and opportunities for social enterprises (SE) in civil engineering in Brazil.

Design/methodology/approach
Starting from the transformative social innovation theory and inspired by grounded theory principles, this paper conducts three-stage exploratory research. First, this paper mapped the Brazilian SE civil engineering ecosystem. Next, this paper classified the SE initiatives along with an organizing framework. Finally, this paper conducted 11 interviews with key ecosystem actors and analyzed data through iterative, parallel and interrelated content analysis procedures.

Findings
The 37 SE found were classified along “Sustainability,” “Housing,” “Transportation” and “Sanitation” pillars, which are aligned with the United Nations’ social development goals. This paper found 50 challenges and opportunities, which were aggregated along seven dimensions. Three elements are particularly relevant as opportunities: opportunities for SE with ecosystem supporters, specialized investors and partnership with major companies; while government and early investment are the most relevant challenges.

Research limitations/implications
Research findings and conclusions cannot be extended to other sectors and countries. Usual limitations associated with exploratory qualitative research must also be highlighted.

Practical implications
The government should offer financial and technical support for civil engineering in working in partnership with ecosystem supporters. Academy could use SE content and ecosystem for its students and should offer diverse resources for network creation.

Originality/value
Focusing on civil engineering SE in Brazil, this study sheds light on a high-impact sector that has not been studied yet.
Servant leadership, organizational identification and turnover intention: an empirical study in hospitals
Authors: Omanwar Sunil P. , Agrawal Rakesh Kumar 
Published: April 2021

Purpose
This paper aims to study the relationship between servant leadership (SL), employee turnover intention (TI) and organizational identification (OI) in hospitals.

Design/methodology/approach
The study uses a quantitative approach to investigate the relationships between SL, OI and TI, using data collected from a sample of 266 front-facing employees in a private Indian hospital setup. Structural equation modeling is used to analyze the data and test the hypotheses.

Findings
The findings reveal that servant leadership has a positive relationship with organizational identification and negatively impacts turnover intentions of the front-facing employee. Further, the study also reveals, contrary to expectations, organizational identification has no significant mediating effect between servant leadership and turnover intentions.

Research limitations/implications
This research is limited to front-facing employees in hospitals and the study may be extended to other industries in the service sector. Future studies may consider other mediating and moderating variables to fully understand the mechanism of impact of servant leadership on turnover intention. Multi-level studies can also be carried out.

Practical implications
With the ever-increasing expectations for better patient care, robust leadership models have required that address front-facing employee’s well-being, enabling their attention toward patients. This paper provides the impetus for the development and adoption of servant leadership specifically within hospitals and the service sector.

Originality/value
This study is one of the few studies that empirically examines servant leadership in the health-care domain. The study also contributes to the extant literature on servant leadership by empirically examining the mediation effect of organizational identification between SL and TI. To the authors’ best of knowledge, this study may be the first of its kind, providing evidence of servant leadership’s impact on turnover intention and organizational identification in hospitals using data from the Indian context.
A new neutrosophic TF-IDF term weighting for text mining tasks: text classification use case
Authors: Bounabi Mariem , Elmoutaouakil Karim , Satori Khalid 
Published: April 2021

Purpose
This paper aims to present a new term weighting approach for text classification as a text mining task. The original method, neutrosophic term frequency – inverse term frequency (NTF-IDF), is an extended version of the popular fuzzy TF-IDF (FTF-IDF) and uses the neutrosophic reasoning to analyze and generate weights for terms in natural languages. The paper also propose a comparative study between the popular FTF-IDF and NTF-IDF and their impacts on different machine learning (ML) classifiers for document categorization goals.

Design/methodology/approach
After preprocessing textual data, the original Neutrosophic TF-IDF applies the neutrosophic inference system (NIS) to produce weights for terms representing a document. Using the local frequency TF, global frequency IDF and text N's length as NIS inputs, this study generate two neutrosophic weights for a given term. The first measure provides information on the relevance degree for a word, and the second one represents their ambiguity degree. Next, the Zhang combination function is applied to combine neutrosophic weights outputs and present the final term weight, inserted in the document's representative vector. To analyze the NTF-IDF impact on the classification phase, this study uses a set of ML algorithms.

Findings
Practicing the neutrosophic logic (NL) characteristics, the authors have been able to study the ambiguity of the terms and their degree of relevance to represent a document. NL's choice has proven its effectiveness in defining significant text vectorization weights, especially for text classification tasks. The experimentation part demonstrates that the new method positively impacts the categorization. Moreover, the adopted system's recognition rate is higher than 91%, an accuracy score not attained using the FTF-IDF. Also, using benchmarked data sets, in different text mining fields, and many ML classifiers, i.e. SVM and Feed-Forward Network, and applying the proposed term scores NTF-IDF improves the accuracy by 10%.

Originality/value
The novelty of this paper lies in two aspects. First, a new term weighting method, which uses the term frequencies as components to define the relevance and the ambiguity of term; second, the application of NL to infer weights is considered as an original model in this paper, which also aims to correct the shortcomings of the FTF-IDF which uses fuzzy logic and its drawbacks. The introduced technique was combined with different ML models to improve the accuracy and relevance of the obtained feature vectors to fed the classification mechanism.
Structural shocks in monetary policy, exchange rates, and stock prices using SVAR in Iran
Authors: Salehi Mahdi , Behname Mehdi , Adibian Mohammad Sadegh 
Published: April 2021

Purpose
This paper aims to examine the interrelationships of monetary policy's structural shocks, the real exchange rate and stock prices.

Design/methodology/approach
According to quarterly data, variables such as gross domestic product, consumer price index, the real exchange rate, stock price and monetary policy indices in the structural vector autoregressions model are estimated. These variables' volatility is attributed to other variables’ structural shocks separately, and analysis of variance tables for all variables is presented.

Findings
The results show that structural shock on the exchange rate does not affect the stock price, but the monetary policy's structural shock positively impacts the real exchange rate. Moreover, the real exchange rate and monetary policy's structural shocks have a negative impact on the stock price index. However, no significant effect is found pertain to the real exchange rate structural shock, statistically.

Originality/value
To the best of the authors’ knowledge, the current study model is relatively novel in developing countries, and the study sought strength to develop knowledge on the subject of the study.
Using DIME maps and STEM project-based learning to teach physics
Authors: Rugh Michael S. , Beyette Donald J. , Capraro Mary Margaret , Capraro Robert M. 
Published: April 2021

Purpose
The purpose of this study is to examine a week-long science, technology, engineering and mathematics (STEM) project-based learning (PBL) activity that integrates a new educational technology and the engineering design process to teach middle and high school students the concepts involved in rotational physics. The technology and teaching method described in this paper can be applied to a wide variety of STEM content areas.

Design/methodology/approach
As an educational technology, the dynamic and interactive mathematical expressions (DIME) map system automatically generates an interactive, connected concept map of mathematically based concepts extracted from a portable document format textbook chapter. Over five days, students used DIME maps to engage in meaningful self-guided learning within the engineering design process and STEM PBL.

Findings
Using DIME maps within a STEM PBL activity, students explored the physics behind spinning objects, proposed multiple creative designs and built a variety of spinners to meet specified criteria and constraints.

Practical implications
STEM teachers can use DIME maps and STEM PBL to support their students in making connections between what they learn in the classroom and real-world scenarios.

Social implications
For any classroom with computers, tablets or phones and an internet connection, DIME maps are an accessible educational technology that provides an alternative representation of knowledge for learners who are underserved by traditional methods of instruction.

Originality/value
For STEM teachers and education researchers, the activity described in this paper uses advances in technology (DIME maps and slow-motion video capture on cell phones) and pedagogy (STEM PBL and the engineering design process) to enable students to engage in meaningful learning.
Shadow economy in Africa: how relevant is financial inclusion?
Authors: Ajide Folorunsho M. 
Published: April 2021

Purpose
This study aims to investigate the possible relationship between financial inclusion and shadow economy in selected African countries.

Design/methodology/approach
The study uses panel data estimation technique and Toda and Yamamoto causality approach. The data of selected African counties over a period of 2005–2015 are sourced from World Bank Development Indicators, International Monetary Fund International Financial statistics database and International Country Risk Guide.

Findings
The results show that financial inclusion reduces the size of shadow economy. The causality results show that there is a unidirectional causality moving from financial inclusion to shadow economy. The results demonstrate that a country with lower level of corruption and higher level of growth can benefit more in reducing the size of shadow economy through financial inclusion.

Originality/value
This study provides the first evidence of the link between financial inclusion and shadow economy from the Sub-Saharan Africa perspective. The study suggests that financial inclusion may be useful in affecting the size of shadow economy in Africa.
The anatomy of non-Muslim consumers’ halal fashion buying behaviour: a quantitative approach
Authors: Tarofder Arun Kumar , Sultana Umme Salma , Ismail Raisal , Salem Suha Fouad , Musah Adiza Alhassan 
Published: April 2021

PurposeThe purpose of this study is two-fold: classifying non-Muslim halal fashion buyers by applying quantitative techniques and identifying the persuading determinants of the non-Muslim women’ halal fashion buying behaviour (HFBB).Design/methodology/approachBy adapting items from prior studies, a structured questionnaire was developed and distributed face-to-face to various Muslim fashion stores in Malaysia. After a one-month effort, 221 responses were obtained from non-Muslim consumers by using convenience sampling. Next, a clustering analysis was used to classify them from a contrasting perspective. Finally, regression and Andrew F. Hayes’s process procedures were applied to examine the three independent variables’ effect and the moderating variables.FindingsThe results revealed the characteristic behaviour of the non-Muslim women explicitly, which is related to their halal fashion purchasing decision. Based on the ANOVA results, there were different motives for buying halal fashion by non-Muslim women. Additionally, it was found that the most crucial determinants for non-Muslim’s HFBB are “cultural adaptation”, albeit, there is no substantial proof of a significant moderating effect of age and income on the consumers.Research limitations/implicationsThese discoveries are advantageous for halal fashion retailers and provide an appealing domain for further investigations in the context of the global halal study.Practical implicationsThis study provided an idea for an untapped segment on the halal fashion sellers’ segmentation and positioning strategy. The study’s results suggested specific managerial and practical recommendation that the sellers can use to attract non-Muslim consumers.Originality/valueThis study was amongst the uncommon investigations within the halal fashion context that will enlighten the managers’ selling strategy on the most neglected market segment. The results of this study provided an empirical understanding of how to sell halal fashion to non-Muslim consumers.
Organizational culture, organizational citizenship behavior, knowledge sharing and innovation: a study of indigenous people production organizations
Authors: Chang Wen-Jung , Hu Da-Chian , Keliw Panay 
Published: April 2021

PurposeTherefore, this study aims to explore the relationships among OC, KS, OCB and OI “Organization” is often seen as a company and few studies pay much attention to tribes and other related organizations and communities of Indigenous peoples. However, Indigenous peoples production organizations (IPPOs) would be certainly influenced by factors from the internal/external, including organizational culture (OC), organizational citizenship behavior (OCB), knowledge sharing (KS) and organizational innovation (OI). Therefore, this study aims to explore the relationships among OC, KS, OCB and OI.Design/methodology/approachBased on valid 139 Indigenous workers in IPPOs, this study used structural equation modeling to validate the relationships among OC, OCB, KS and OI.FindingsThe empirical findings indicate that OC would significantly influence OCB and OI, whereas KS would not have significant impact on OI. In addition, OC would not influence KS as usual, whereas OCB would do. Finally, OCB would impact KS.Practical implicationsAs OCB acts as a complete mediator in OC–KS relationship, it means that these IPPOs already have OCB to motivate their staffs to do KS, but not enough to achieve more excellent performance on innovation.Originality/valueCompared to past studies, this study aims to investigate the theory of organizational behavior and whether it is suitable between general businesses and IPPOs.
Introducing bi-directional participatory place branding: a theoretical model with multi-stakeholder perspectives
Authors: Jain Varsha , Shroff Preeti , Merchant Altaf , Bezbaruah Subhalakshmi 
Published: April 2021

Purpose
A place brand is a culmination of its exclusive history, people and traditions that affect customer and community experiences. Place branding has become increasingly important for collective heritage brand strategy, as stakeholders undertake efforts to create an aura of a distinctive geographic location. Though place branding has received considerable scholarly attention, there is a lacuna: the role of residents as co-creators of a place and its heritage. Accordingly, this paper aims to develop a “bi-directional participatory place branding” model by applying the stimulus–organism–response approach grounded theory.

Design/methodology/approach
A grounded theory approach with multi-sited ethnography, personal interviews (with residents and city leaders) and observational techniques were adopted in a UNESCO world heritage city of India, Ahmedabad.

Findings
The findings indicate that the people (residents) aspect of place branding is associated with their life stories, past experiences, feelings and aspirations. However, the place acts as a nostalgia enabler, disseminating symbolic and heritage metaphors to residents and visitors as place brand ambassadors. When the place and people components are perceived positively, residents participate involve themselves with the place and thus, in turn, become the place ambassadors.

Originality/value
No prior studies have analyzed the association between residents, the place where they reside and the resultant behavior toward the place. The unique contribution is the bi-directional participatory place branding model, especially involving a UNESCO world heritage city rather than solely a site.
Towards viability of academic departments: the power of organizational cybernetics
Authors: Rezk Sahar Saeed , Gamal Shahinaz 
Published: April 2021

Purpose
The purpose of this study is to use the power of organization cybernetics (OC) to design a flexible viable academic department that is at the risk of losing its viability because of the complexity of the educational environment.

Design/methodology/approach
The proposed framework is developed based on Beer’s OC and the viable system model (VSM). This study adopts the guidelines for applying the VSM described by Stafford Beer and José Pérez Ríos.

Findings
The framework presents a comprehensive explanation of the essential functions of a viable academic department. In addition, it determines the basis for an inclusive redesign that can be used to maintain the department’s identity and viability as well.

Originality/value
Although there are many studies applying the framework of the VSM, in an educational context, most of them limited its usage to the evaluation of the viability of academic departments. They did not use the power of OC to design for systemic viability. Accordingly, the application of OC and the VSM, for the sake of designing a viable academic department, can be considered as highly original.