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Market segmentation has always had a very important place in the marketing literature. Besides being one of the ways of operationalizing the marketing concept, market segmentation provides effective guidelines for firms’ marketing strategy development and resource allocation among their diverse product markets. As market segmentation simultaneously addresses the roles of both marketers and customers, the segmentation concept has captured the attention of many scholars and practitioners alike in the field. Accordingly, within the last few years, a number of new developments have emerged in market segmentation. Although different terms or concepts may have been used by different researchers, the basic idea behind these developments has been to create more effective and efficient ways of reaching individual consumers in order to satisfy their unique needs and wants. Examines and conceptualizes the recent advancements in market segmentation and development studies and globally explores their managerial implications for marketing practitioners and researchers alike for orderly decision‐making purposes.

The objective of this paper is to investigate product‐country images, lifestyles and ethnocentric behaviors of Turkish consumers and provide suggestions to the marketers about the implications of the study results. Data for the study were collected through personal interviews in the fifth largest Turkish City of Konya. Study findings indicate that Turkish consumers had significantly different perceptions of product attributes for the products coming from countries of different levels of socio‐economic and technological development. Results lend support to earlier studies conducted in western countries and also indicate the robustness of the ethnocentrism scale (CETSCALE), which was developed in the USA to measure consumer attitudes in an advanced developing country. Also, results of the study revealed that there were several lifestyle dimensions apparent among the Turkish consumers, which were closely correlated with their ethnocentric biases. This study contributes to the growing body of the literature related to cross‐cultural comparisons of country‐of‐origin influence by incorporating consumer ethnocentric biases as well as consumer lifestyles.

The purpose of this manuscript is to empirically compare logistics strategies in Chinese and US manufacturing firms and the outcomes of these strategies to test the underlying factor structure and measurement equivalences of Bowersox/Daugherty model and its relationship with critical success factors.

A structured questionnaire was used to gather data from Chinese and American logistics managers. Using confirmatory factor analysis (CFA), the authors compared the three dimensions of the overall logistics strategy (OLS) – process strategy, market strategy, and information strategy – in two countries. A structural equation model (SEM) was then used to assess the impact of OLS on perceived competitiveness in two countries.

Although the economic, political, and cultural dimensions of the two countries differed substantially, the findings were similar. Data from both countries provided strong support for the three dimensions of overall logistic strategy (OLS). In addition, it was found that OLS, when combined with logistics coordination effectiveness (LCE) and customer service effectiveness (CSE), contributes to organizational effectiveness (COMP).

This research provides insights into comparative logistics in two large disparate economies and provides support for the Bowersox/Daugherty logistics/supply chain management typology.

This manuscript provides insights into comparative logistics/supply chain management that have not been previously reported through empirical research.

The purpose of this paper is to explore, confirm and verify leadership with regards to quality management measurement models. This research focused on identifying individual staff members’ leadership attributes at the Thai National Institute of Health in relation to quality management.

The research instrument used in this study was a modified questionnaire on self-leadership and quality management that was distributed to the institute’s staff. Leadership and quality management construct variables were observed and measured through staff perceptions, attitudes, practices and existing facts at the institute. Exploratory factor analysis (EFA), confirmatory factor analysis (CFA) and structural equation modeling (SEM) were used to examine the data.

The questionnaire had a 65 percent response rate. EFA revealed six factors from 27 questionnaire items and CFA was used to confirm the measurement models that were fitted to the data. The leadership attributes of staff members at the institute were statistically associated to and impacted on quality management by SEM analysis.

In-depth understanding of leadership and quality management could be done through a longitudinal study because the two factors would change over time. Even though this model is not a longitudinal study, it could help the institute facilitate and manage quality in practice through leadership.

A cross-sectional study is used to examine the effect of leadership on quality management through factor analysis and SEM, which provided empirical evidence for future research. Leadership and quality management measurement models have statistically proven to be appropriately, technically and theoretically correct by design for observing variables used in the leadership measurement model that affects quality management.

Presents over sixty abstracts summarising the 1999 Employment Research Unit annual conference held at the University of Cardiff. Explores the multiple impacts of globalization on work and employment in contemporary organizations. Covers the human resource management implications of organizational responses to globalization. Examines the theoretical, methodological, empirical and comparative issues pertaining to competitiveness and the management of human resources, the impact of organisational strategies and international production on the workplace, the organization of labour markets, human resource development, cultural change in organisations, trade union responses, and trans‐national corporations. Cites many case studies showing how globalization has brought a lot of opportunities together with much change both to the employee and the employer. Considers the threats to existing cultures, structures and systems.

Businesses are increasingly vulnerable and exposed to physical climate change risks, which can cascade through local, national and international supply chains. Currently, few methodologies can capture how physical risks impact businesses via the supply chains, yet outside the business literature, methodologies such as sustainability assessments can assess cascading impacts.

Adopting a scoping review framework by Arksey and O'Malley (2005) and the PRISMA extension for scoping reviews (PRISMA-ScR), this paper reviews 27 articles that assess climate risk in supply chains.

The literature on supply chain risks of climate change using quantitative techniques is limited. Our review confirms that no research adopts sustainability assessment methods to assess climate risk at a business-level.

Alongside the need to quantify physical risks to businesses is the growing awareness that climate change impacts traverse global supply chains. We review the state of the literature on methodological approaches and identify the opportunities for researchers to use sustainability assessment methods to assess climate risk in the supply chains of an individual business.

Al-Juhfa is a small village located near Rabigh City, between Makkah and Madinah, Saudi Arabia, with significant archaeological and religious resources. The purpose of this paper is to examine residents’ attitudes toward tourism development at Al-Juhfa.

The qualitative study uses purposive interviewing to recruit informants. Data was collected using semi-structured interview and open-ended questions. Eight semi-structured interviews were made and a list of open-ended questions was distributed to 134 informants. All data were analysed and no new codes were found after the answer of the first 49 informants analysed.

The results show that residents’ attitudes toward tourism development in general were positive with residents expecting to receive economic, social and environmental benefits. Residents were aware of potential positive and negative impacts of tourism development and appeared to balance these in developing their attitudes. Tourism was seen to empower residents and the religiosity of the community influenced their perception of tourism development.

This study contributes to the literature by supporting the use of social exchange theory in this context and by recommending the inclusion of religiosity in further studies.

This study was conducted to analyze the effects of machining parameters on the specific energy consumption in the computerized numerical control lathe turning operation of a hardened alloy steel roll at low cutting speeds. The aim was to minimize its consumption.

The design matrix was based on three variable factors at three levels. Response surface methodology was used for the analysis of experimental results. Optimization was carried out by using the desirability function and genetic algorithm. A multiple regression model was used for relationship build-up.

According to desirability function, genetic algorithm and multiple regression analysis, optimal machining parameters were cutting speed 40 m/min, feed 0.2 mm/rev and depth of cut 0.50 mm, which resulted in minimal specific energy consumption of 0.78, 0.772 and 0.78 kJ/mm³, respectively. Correlation analysis and multiple regression model found a quadratic relationship between specific energy consumption with power consumption and material removal rate.

In the past, many researchers have developed mathematical models for specific energy consumption, but these models were developed at high cutting speed, and a majority of the models were based on the material removal rate as the independent variable. This research work developed a mathematical model based on the machining parameters as an independent variable at low cutting speeds, for a new type of large-sized hardened alloy steel roll. A multiple regression model was developed to build a quadratic relationship of specific energy consumption with power consumption and material removal rate. This work has a practical application in hot rolling industry.