bluuebunny/crossref_metadata_2025_split huggingface dataset:
Emotional comprehension of a name-brand coffee shop: focus on lovemarks theory
Authors: Song HakJun , Bae So Young , Han Heesup 
Published: February 2019

PurposeThis study aims to identify the structural relationships among the drivers of lovemarks (mystery, sensuality, intimacy, trust, reputation and performance), lovemarks (brand love and brand respect) and loyalty of a name-brand coffee shop.Design/methodology/approachTo this end, a self-administered questionnaire survey was conducted, and after eliminating the outliers, a total of 401 data were analyzed using the SPSS and AMOS statistical packages.FindingsThe results of the current study indicate that both customers’ brand love and respect are positively related to their brand loyalty and sensuality, intimacy, trust among drivers of lovemarks directly affecting their brand loyalty, suggesting that the theory of lovemarks is useful to understand the process of generating brand loyalty. Moreover, it was revealed that reputation and performance are significant antecedents of brand respect, while mystery, sensuality and intimacy are important to explain brand love.Practical implicationsThe present research informed that effectively dealing with two constituents of lovemarks (brand love and brand respect) are of utmost importance in building patrons’ brand loyalty. In addition, patrons’ cognitive and emotional experiences should be improved to boost the level of loyalty for a name-brand coffee shop.Originality/valueThis study made a contribution to the literature by conceptually and empirically evaluating lovemarks’ dimensions simultaneously in the name-brand coffee shop environment. In addition, this research was the first attempt to explicate loyalty formation for a name-brand coffee shop by using the lovemarks theory.
Lesson study beyond Japan: evaluating impact
Authors: Seleznyov Sarah 
Published: February 2019

Purpose
The purpose of this paper is to present the findings from a systematic literature review of recent studies of the implementation of Japanese lesson study beyond Japan, reviewing evidence of impact and robustness of the studies. Two studies of the implementation of lesson study from outside the timeframe for the literature review are also reviewed in detail, in order to explore the problematic nature of impact evaluation of lesson study.

Design/methodology/approach
A systematic literature review of 154 English language studies of the implementation of lesson study with in-service teachers beyond Japan published between 2006 and 2016 identifies 56 as a measuring impact. A lesson study-specific adaptation of Guskey’s (2000) five levels for the evaluation of professional development enables an analysis of the types of impact measured. An analysis using the Maryland Scientific Method Scale (MSMS) enables a review of robustness. Two recent robust studies from beyond this timeframe are then analysed in detail in terms of their framing of lesson study as an intervention and selection of related impact measures.

Findings
The literature review and subsequent analysis shows that studies are largely small-scale US case studies ranking as 1, or “least robust” on MSMS. Studies demonstrate the impact of lesson study on teacher learning and positive reactions, but little evidence of it making a difference to teaching, nor of the impact on schools’ professional learning cultures and structures, is present. The detailed analysis of the two recent studies shows that there are many potential pitfalls for researchers to avoid when measuring the impact of lesson study, specifically in relation to distinguishing lesson study as a professional development intervention, and measuring its impact accordingly.

Research limitations/implications
The systematic review is limited to articles available in the English language, and there is a clear bias towards the USA. The study suggests that future research on lesson study in the UK and beyond should evaluate the implementation of lesson study over a larger scale, gather evidence of the difference lesson study makes to daily teaching and learning, and to its effect on school culture and structures.

Practical implications
The study suggests that researchers should pay careful attention to the fact that lesson study is not an end in itself, merely a means to achieve an identified change to teaching and learning, and design impact measures accordingly.

Originality/value
Unlike other systematic reviews of lesson study, this study analyses the impact evidence for lesson study that might be seen as most relevant to its introduction in cultural and structural contexts beyond Japan. It also explores in detail the potential pitfalls of lesson study impact evaluations, offering guidance to both practitioners and researchers.
The relationship between trading volume and exchange rate volatility: linear or nonlinear?
Authors: Kumar Satish 
Published: February 2019

PurposeThe purpose of this paper is to examine the linear and nonlinear relations between returns volatility and trading volume for the Indian currency futures market.Design/methodology/approachTo examine the contemporaneous relation between returns volatility and volume, the author uses the generalized method of moment estimator. For the linear causal relation, the author makes use of Granger (1969) bivariate vector autoregression model. The author tests for nonlinear Granger causality between returns volatility and trading volume based on a modified version of the Baek and Brock (1992) nonparametric technique developed by Hiemstra and Jones (1994).FindingsThe results indicate a negative contemporaneous relation between returns volatility and trading volume; therefore, the mixture of distribution hypothesis is not supported. The results of both linear and nonlinear Granger causality between futures returns volatility and trading volume indicate a significant bidirectional relation between the two variables lending support to the sequential arrival of information hypothesis. The results are robust to divergence of opinions as proxied by open interest.Practical implicationsThe findings of this paper are important for the participants in the market and regulators. The participants in the market require alternatives to diversify their risk. The significant causal relation between returns volatility and trading volume implies that trading volume helps predict the futures prices and should lead to creation of more reliable hedging strategies for investment purposes. Furthermore, it may interest the regulators who need to decide upon the appropriateness of their policies in the currency futures market.Originality/valueTo the best of the author’s knowledge, there is no study that investigates the forecast ability of trading volume to futures returns volatility in an emerging currency futures market. Given that currency futures market is one of the largest markets in the world, and Indian rupee has seen wide fluctuations in the recent years, it seems exciting to explore the price–volume relation in the Indian currency futures market.
Antecedents of women managers’ resilience: conceptual discussion and implications for HRM
Authors: Tabassum Naznin , Shafique Sujana , Konstantopoulou Anastasia , Arslan Ahmad 
Published: February 2019

PurposeThis paper aims to provide a framework with the antecedents of women managers’ resilience in SMEs.Design/methodology/approachThis developmental study uses a comprehensive literature review and a set of propositions to identify the antecedent of women managers’ resilience and develops a conceptual framework for resilience.FindingsThe results indicate that in addition to personal resilience traits, interactive engagement with the work environment, career adaptability and positive human resource management (HRM) interventions are the main antecedents of women managers’ resilience.Research limitations/implicationsThis paper contributes to theory by providing a new perspective on the study of resilience as a process at the organisational level and as a trait at personal level. It contributes to the women employee-centric resilience discussion in HRM literature and explores the relationship between resilience and women managers’ career progression. This is a developmental study, and despite the strengths of the undertaken approach, there are a number of limitations due to the lack of empirical evidence. Therefore, future research activities should focus on validating the framework and determining any potential boundaries of this resilience framework.Practical implicationsThe study reveals a number of practical implications leading to a recommended resilience toolkit for HR managers of organisations to develop and promote resilience in their women managers and aspiring managers.Social implicationsThe social implications of this study include the social relationships within the work-setting, better employee engagement and interaction with the work environment and flexible career progression pathways.Originality/valueThe paper is based on rich conceptual and theoretical discussion that identifies the key antecedents of women managers’ resilience. The study also conceptually establishes the moderating relationship between women managers’ resilience and work stress and burnout.
Drivers and barriers for adoption of a leading social management standard (SA8000) in developing economies
Authors: Koster Mieneke , Vos Bart , van der Valk Wendy 
Published: February 2019

PurposeThe purpose of this paper is to identify drivers and barriers for adopting Social Accountability 8000 (SA8000), a leading global social management standard.Design/methodology/approachThe approach involves combining insights from Institutional Theory with a focus on economic performance to study SA8000 adoption by suppliers operating in a developing economy (i.e. India). Data collection involves interviews with adopters and non-adopters, social standard experts and auditors, and archival data on local working conditions.FindingsThis study confirms that customer requests are the major reason for adopting SA8000 in order to avoid loss of business. It is noteworthy, however, that those customer requests to adopt SA8000 are often symbolic in nature, which, in combination with the lack of a positive business case, hinders effective implementation.Practical implicationsThe findings imply that symbolic customer requests for SA8000 adoption induce symbolic implementation by suppliers, a “supply chain effect” in the symbolic approach. Substantive requests in contrast lead to more substantive implementation and require customer investment in the form of active support and an interest in the standard’s implementation, context and effects.Originality/valueThis study is original in that it addresses social sustainability from a supplier’s perspective, using the lens of Institutional Theory. The value lies in demonstrating the “supply chain effects” that arise from the “quality” of customer requests: a purely symbolic approach by customers leading to symbolic implementation vs the merits of substantive customer requests which stimulate substantive implementation.
An application of integrated EPC–SPC methodology for simultaneously monitoring multiple output characteristics
Authors: John Boby , Singhal Shreya 
Published: February 2019

Purpose
The purpose of this paper is to develop an integrated engineering process control (EPC)–statistical process control (SPC) methodology for simultaneously monitoring and controlling autocorrelated multiple responses, namely, brightness and viscosity of the pulp bleaching process.

Design/methodology/approach
The pulp bleaching is a process of separating cellulose from impurities present in cooked wood chips through chemical treatment. More chemical dosage or process adjustments may result in better brightness but adversely affect viscosity. Hence, the optimum chemical dosage that would simultaneously minimize the deviation of pulp brightness and viscosity from their respective targets needs to be determined. Since the responses are autocorrelated, dynamic regression is used to model the responses. Then, the optimum chemical dosage that would simultaneously optimize the pulp brightness and viscosity is determined by fuzzy optimization methodology.

Findings
The suggested methodology is validated in 12 cases. The validation results showed that the optimum dosage simultaneously minimized the variation in brightness and viscosity around their respective targets. Moreover, suggested solution has been found to be superior to the one obtained by optimizing the responses independently.

Practical implications
This study provides valuable information on how to identify the optimum process adjustments to simultaneously ensure autocorrelated multiple responses on or close to their respective targets.

Originality/value
To the best of the authors’ knowledge, this paper is the first to provide application of the integrated EPC–SPC methodology for simultaneously monitoring multiple responses. The study also demonstrates the application of dynamic regression to model autocorrelated responses.
Optimal availability for determining choice and repair policy of system components
Authors: Jeang Angus , Ko Chang Pu , Chung Chien-Ping , Chen You-Jie , Lin I. 
Published: February 2019

Purpose
The purpose of this paper is to establish the regression model by a simulation method that was obtained by using the system response at unit cost as the response value. The unit availability was maximized, while the unit cost was minimized.

Design/methodology/approach
In this study, the Monte Carlo simulation method was used to simulate an operational system, and the regression model was obtained by using response surface methodology with the experimental matrix and different levels of experimental combinations.

Findings
The optimal value of mean time between failure (MTBF) and mean time to repair (MTTR) of each component was then obtained by using the system response at unit cost as the response value.

Practical implications
Due to the upgrading of industrial technology and the maturity of electronic technology, product development technology has become highly sophisticated with complex designs. Reliability engineering has become a key procedure of high-tech industry.

Social implications
Based on the system availability of unit cost as the response value, it can maximize the availability to help decision makers to formulate the best selection strategy components and repair strategy.

Originality/value
Previous works regarding the parameter settings of reliability values never mention the simulation methodology. However, this study aims to achieve the above goals in finding the relationship of MTBF and MTTR simultaneously.
Endogenous specification of foreign capital inflows, human capital development and economic growth
Authors: Musibau Hammed Oluwaseyi , Yusuf Agboola Hammed , Gold Kafilah Lola 
Published: February 2019

PurposeThe purpose of this paper is to empirically investigate the relationship between foreign capital inflows, human capital development (HCD) and economic growth in ECOWAS countries.Design/methodology/approachIn line with the augmented Solow model, the relationship between foreign capital inflows, human capital development and gross domestic product in the ECOWAS member countries is investigated using the pool mean group method.FindingsThe authors find overwhelming evidence that foreign capital inflows and human development have a significant effect on economic growth in ECOWAS member countries. However, foreign direct investment (FDI), official development assistant, HCD and gross domestic investment are positively related to economic growth in sub-regions economies. Conversely, migrate official remittance, portfolio investments and external debts are negatively related to economic growth.Research limitations/implicationsThe authors recommend that sound economic policies should be targeted in encouraging foreign capital accumulation and HCD, especially on FDI, official development assistance that exerts a positive impact on the economic growth of the sub-region. Therefore, training is required to prepare the labor force to work with new technologies and promote efficient enterprise for ECOWAS economies to compete with developed countries and emerging economies.Social implicationsThis study argued that the development of human capital is a pathway that may lead countries away from sustained growth. In the context of any economy which lack well-developed capital and education markets, many otherwise qualified citizens may be denied the basic skills they need in order to contribute fully to the nation’s economic development. HCD would encourage foreign investments, resulting in reduction in poverty in ECOWAS countries.Originality/valueSeveral studies have been done on foreign capital inflow and economic growth nexus such as Orjiet al.(2014), Ajide and Raheem (2016), Musibauet al.(2017), etc.; however, none of the research studies has actually examined the effect of the relationship between foreign capital inflows and HCD on economic growth in ECOWAS countries. This study is designed to fill the vacuum.
Approach to establish a hybrid intelligent model for crack diagnosis in a fix-hinge beam structure
Authors: Behera Sanjay Kumar , Parhi Dayal R. , Das Harish C. 
Published: February 2019

Purpose
With the development of research toward damage detection in structural elements, the use of artificial intelligent methods for crack detection plays a vital role in solving the crack-related problems. The purpose of this paper is to establish a methodology that can detect and analyze crack development in a beam structure subjected to transverse free vibration.

Design/methodology/approach
Hybrid intelligent systems have acquired their own distinction as a potential problem-solving methodology adopted by researchers and scientists. It can be applied in many areas like science, technology, business and commerce. There have been the efforts by researchers in the recent past to combine the individual artificial intelligent techniques in parallel to generate optimal solutions for the problems. So it is an innovative effort to develop a strong computationally intelligent hybrid system based on different combinations of available artificial intelligence (AI) techniques.

Findings
In the present research, an integration of different AI techniques has been tested for accuracy. Theoretical, numerical and experimental investigations have been carried out using a fix-hinge aluminum beam of specified dimension in the presence and absence of cracks. The paper also gives an insight into the comparison of relative crack locations and crack depths obtained from numerical and experimental results with that of the results of the hybrid intelligent model and found to be in good agreement.

Originality/value
The paper covers the work to verify the accuracy of hybrid controllers in a fix-hinge beam which is very rare to find in the available literature. To overcome the limitations of standalone AI techniques, a hybrid methodology has been adopted. The output results for crack location and crack depth have been compared with experimental results, and the deviation of results is found to be within the satisfactory limit.
Analysis of interpretive structural model of Indian railway security system by analytic hierarchy process (AHP)
Authors: Srivastava Anoop , Gaur Sant Kumar , Swami Sanjeev , Banwet D.K. 
Published: February 2019

Purpose
Security and safety have remained important concerns for mankind since ancient times. In the context of railways, however, the threat perceptions to safety and security have increased significantly lately. In view of this, the Indian Railways requires an effective and efficient security management system. The purpose of this paper is to propose an integrated approach to help develop the Indian railway security system (IRSS) by successively reducing the complexity of the system through a series of studies.

Design/methodology/approach
The relevant elements of the complex system of Indian Railways have been identified. The framework in which the elements exist and interact with each other has been clearly established using the interpretive structural modelling (ISM) technique. The output of ISM is further reduced in complexity by having different policy option profiles. A comparison of different option profiles has been done by a multi-criteria decision-making technique, the analytic hierarchy process (AHP), by choosing suitable criteria for comparison.

Findings
The following elements need to be pursued as the key objectives for making IRSS: protection of passengers, protection of property, modernisation, manpower enhancement, multi-skilling of staff, latest technology and enhanced legal powers.

Research limitations/implications
The present research can be extended in many important ways. Interpretive structural models for different contextual relationships can be developed and used for formulating and implementing customised security policy. Policy elements and the ISM structure obtained in this research can be utilised for the system dynamic modelling of IRSS. A pilot study can be done to implement the recommendations made in this study.

Practical implications
The ISM model developed can be implemented as a policy tool in enhancing the railway’s security. Some of the policy elements proposed appear to be consistent with the strategic direction being undertaken in the railway security in the country.

Social implications
Security is an important concern for mankind and social civilisations. The results have significant welfare implications in India and the rest of the world.

Originality/value
The present study is one of the first approaches in a series of studies in railway security in India. The results of this study can be extended to other security scenarios with similar needs.
Factors influencing inbound medical travel to India
Authors: Medhekar Anita , Wong Ho Yin , Hall John Edward 
Published: February 2019

PurposeThe purpose of this paper is to explore the demand-side factors that influence the inbound medical tourists’ (MTs) decision to travel abroad for medical treatment/surgery.Design/methodology/approachThe researchers conducted thematic analysis of in-depth interviews in India with 24 foreign MTs’ to generate the themes, identify factors and propose a model with hypothesis for future quantitative survey.FindingsThe findings conclude that patients ranked in ascending order less waiting time for surgery, healthcare quality and accreditation, staff/surgeons expertise, healthcare information, hospital facilities and services, patient safety, travel risk, surgical costs and holiday opportunity as important factors that influence the decision to travel abroad for medical treatment/surgery.Research limitations/implicationsForeign patients from six private hospitals were willing to be interviewed with the permission of the hospital. Due to confidentiality and privacy policy, many hospitals declined interviews with foreign patients.Practical implicationsThe findings are generalised in case of foreign patients as MTs and all private hospitals treating foreign patients in India and other global healthcare destinations. Policy implications suggest that private hospitals in developing countries need to provide first-class quality of healthcare as foreign patients look for internationally accredited quality, no waiting time, patient safety, qualified and experienced surgeons, healthcare workers education and experience hospital facilities and post-surgery care with positive healthcare outcomes.Originality/valueThere is little empirical research on the views of inbound MTs, about factors influencing their decision to travel abroad for surgery to India.