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Globalization and outsourcing have rendered Indian automotive companies more vulnerable to supply chain (SC) risks. Consequently, companies adopt different supply chain risk management (SCRM) strategies to mitigate SC risks. The purpose of this paper is to explore SCRM strategies in Indian automobile industry and to classify automobile firms based on SCRM dimensions.

A survey instrument on SCRM dimensions was designed and data were collected from 79 automobile firms. Principle component analysis (PCA) was performed on the collected data to derive the factors underlying SCRM dimensions. Further, cluster analysis using extracted factors as a clustering variate was performed to identify strategic groups from the given set of firms.

PCA derived seven factors, namely: avoidance, supplier development, flexibility, risk pooling, redundancy, integration and control strategies. The surveyed firms were classified into two clusters as low and high SCRM level.

A limitation of this study is that data were collected from a single industry and in a single country.

Understanding of SCRM dimensions shall increase the use of these dimensions and firms can mitigate negative effects of SC risks. The detailed operationalization of SCRM strategies highlights the importance of three strategies: avoidance, integration and supplier development. Managers’ understanding of SCRM strategies will improve the firm's performance and business excellence.

This research empirically validates SCRM strategies and investigates how these create differences among firms.

The purpose of this paper is to examine how a graduate institute at National Chiayi University (NCYU), by using a model that integrates analytic hierarchy process, cluster analysis and correspondence analysis, can develop effective marketing strategies.

This is primarily a quantitative study aimed at developing a marketing mix for a graduate institute at NCYU in Taiwan. A survey using stratified random sampling was conducted, with 14 universities from four different areas in Taiwan randomly selected for the study. Two questionnaires were conducted: a Likert's five‐scale questionnaire regarding school images and an analytic hierarchy process (AHP) questionnaire regarding school selection factors were administered to 640 undergraduate students. Of the total number of questionnaires, 602 (94 percent) valid school image questionnaires and 570 (89 percent) valid school selection factors questionnaires were used.

The results of AHP revealed that the five most important factors for students' school selection were: employability, curriculum, academic reputation, faculty, and research environment. The results of clustering analysis identified five student groups for market segmentation, and they are the Prominence group, the Less aware group, the Pragmatic group, the Austerity group, and the Fastidious group. Finally, the results of correspondence analysis suggested that students of the Pragmatic Group are more likely to be attracted by NCYU, and also, students perceived NCYU to be strongly associated with lower tuition, fewer entrance‐exam subjects, lower entrance‐exam pass rates, and easier graduation requirements.

It would be better to conduct a factor analysis before using AHP.

Particularly, NCYU should establish new curricula relevant to internationalization, develop curricula in school finance and educational economics, and form study groups to enhance graduating student employment opportunities. Generally, higher educational institutions may adopt the research model developed in this study to develop their marketing mix for better results.

This paper documents research that was the first to integrate AHP, cluster analysis, and correspondence analysis in developing a marketing mix for higher educational institutions.

This paper explores how key insights from highly cited and well-used frameworks that describe the strategies and structures of MNCs are reflected in the international configurations of US MNCs. After reviewing existing frameworks that highlight different MNC choices regarding the integration, responsiveness, and dispersion of firm value chain activities, I perform a cluster analysis on a comprehensive and confidential database of US MNCs. The results reveal five configurations which both support the importance of key insights from existing frameworks while at the same time highlighting underexplored configuration characteristics, like the low levels of integration in US MNCs, the global sourcing arrangements for accessing foreign inputs and distribution, different approaches to regional expansion, and the limited geographic expansion of US MNCs pursuing product diversification. I argue that these underexplored characteristics suggest directions for future research to better reflect the international configuration choices of MNCs.

Air cargo was traditionally considered as a by-product of passenger air transport. However, in the last decade a defined strategy for air cargo has gained a key position in the strategies of most combination airlines, contributing largely to the cash and profit levels of these airlines. The global air cargo industry is nowadays a mature industry with over 60 billion USD in direct revenues. The strategic context is, therefore, far beyond the basic entrepreneurial framework in which an emerging and young industry tends to operate. This chapter aims to gain an enhanced insight into the strategies of airlines that transport cargo, either in the bellies of passenger aircraft or in full-freighter aircraft. A Cluster Analysis generates a typology of seven representative clusters of air cargo operators’ strategy models. The typology proposes a spectrum of strategies for air cargo, ranging from the cluster group “Carpet Sellers” up to the “Cargo Stars” cluster. While the former tend to be the small airlines or all-cargo carriers which barely manage to cover their costs with their revenues, the latter are profitable, very large globally operating airlines that focus on both passengers and cargo with passenger and freighter aircraft. Within this spectrum there are five other main strategy groups: the “Basic Cargo Operators,” the “Strong Regionals,” the “Low Cost Low Yielder,” the “Large Passenger Wide-body Operators,” and the “Premium Cargo Operators.” Our findings suggest the existence of superior strategy models that could be defined as “winning strategies” that differ according to airline size.

The purpose of this paper is to replicate the taxonomic study of Miller and Roth and to validate its applicability in a small newly industrialised country.

An empirical survey of manufacturing companies in Ireland was conducted using a research instrument that replicated the questions asked in the original 1994 study. Data was collected using mail questionnaires posted to 874 manufacturers. A total of 199 respondents were used for this study. The study tested two central hypotheses using advanced statistical data analysis techniques, such as canonical discriminant analysis.

The results of the research identified three clustered strategic groups (Best Value, Budget and Multi Focus) which were different from those of Miller and Roth: caretakers, marketeers and innovators. The study supported the dynamic nature of manufacturing strategy, and shows how new manufacturing strategies evolve over time and differ between regions.

Further research should replicate this study in other small newly industrialised countries. Given the recently changed nature of the economy within Ireland, a longitudinal study would provide useful insights into the dynamics of manufacturing capabilities.

The study provides important insights into manufacturing strategy within a small newly industrialised country. The results suggest that manufacturing strategies appear to change depending on the country of plant location. The manufacturing strategies may be attributed to the unique business environment, challenges and constraints of the country.

There is a scarcity of taxonomy studies in general, and there is a dearth of such studies in small newly industrialised countries such as Ireland. Through identifying a new taxonomy the study contributes to the existing literature on manufacturing strategy, and challenges the global applicability of taxonomies developed in the USA.

The purpose of this study is to utilize a configuration approach to examine the relationships between multiple contingent variables and management control systems (MCS) in service organizations from various industries. The contingent variables include service process type, cost leadership and differentiation strategies, environmental unpredictability, change and complexity and organizational life cycle stage.

Questionnaires were administered to the financial controllers of service organizations operating in Australia. Cluster analysis is utilized to reveal the MCSs fit.

The data reveals that high-performing service organizations are those firms that place high emphasis on a differentiation strategy. The lower performers, on the other hand, are firms with a lack of emphasis on both cost leadership and differentiation strategies. Overall, the data demonstrates that strategic orientation plays an important role in high-performing organizations and the ability to incorporate various contingent situations determines the effectiveness of an organization.

The potentially broad framework offered in this study allows managers from various service industries to relate the variations in the combination of situations to those of their firms. The service managers’ experience with certain type of combinations can assist them to identify the strategic position of their respective organizations. Consequently, service managers can estimate the prospect for further development to enhance the firm performance.

This study offers a holistic view of the multiple and simultaneous relationships between contingent factors and MCS design in service organizations using a configuration approach. This paper contributes to the literature on organizational configurations in particular by studying the systematic nature of effective MCSs in service organizations when adapting to the contextual settings of the organizations.

Cluster analysis is applied to the union and employer tactics used in a sample of Ontario organising campaigns to identify the combinations of tactics or strategies that are used most often. Seven union organising strategies and five employer resistance strategies are revealed. Contingency table analysis shows that the union and employer strategies are not independent of one another. More active campaigns by one side (in terms of more tactics used) are met by more active campaigns by the other side. Regression analysis is used to estimate the effects of the strategies on the outcome of the organising campaign. The most active strategies, including intensive communication with workers and worker committees, work best for the employers. For unions, strategies emphasising personal communication through house calls are the most effective.

Professional work is becoming more specialized and diffused, with new specialties emerging on the boundaries of established professions. The purpose of this paper is to examine current specialties in academic librarianship in order to infer what strategies they employ.

This research uses a sample of 60 US research libraries to investigate current specialties in academic librarianship, in order to analyze and classify the specialties into groups based on similarities, and categorize academic libraries based on the staffing patterns identified, and illustrate the challenges and strategies of each classification. The sample was selected from the membership of the Association of Research Libraries, and designed to include both large and medium-sized research libraries. 888 different job titles were identified for 2,074 specialist positions extracted from staff directories containing information on 11,688 librarians. The positions were analyzed and classified using the framework provided by Cox and Corrall (2013), and the specialty composition of the libraries was investigated with Ward’s (1963) hierarchical method of cluster analysis, using 28 variables.

The cluster analysis identified subspecialties within the groups and revealed seven distinct staffing strategies of the libraries.

Describing specialties and strategies in academic libraries by cluster analysis based on huge data is a significantly novel and effective approach for capturing the concept of specialization.

This study aims to systematise the links between firms’ strategies (corporate and business) and the cluster dynamics (through the cluster life cycle [CLC] perspective) and propose an integrative framework bridging firms’ strategic behaviour and cluster dynamics (CLC).

The methodology used is an integrative literature review, which provides a distinctive form of research.

The study identifies several links between firms’ strategies (corporate and business) and the cluster dynamics (CLC), namely: (1) firms’ strategies as a triggering factor of cluster evolution; (2) firms’ strategies and path's decline; (3) firms’ strategies and cluster’s renewal; (4) resilience strategies and the cluster life cycle; and (5) cluster’s features and firms’ strategies.

This study contributes to developing strategic management theory and cluster theory by bridging firms' strategies and cluster dynamics (CLC). It proposes a new conceptualisation of the impact of cluster dynamics on firms' strategic choices – firstly, it proposes a specific approach to identify the CLC; and secondly, it develops an integrative framework model that relates firms' strategies and each stage of the CLC. These are theoretical tools relevant for further advancements in this area of research, as they can be applied in studies of different clusters for validation, something that was not done.

The integrative framework is expected to be helpful to company managers, allowing them to design better strategies that account for dynamic cluster environments.

This study aims to fill this gap in the literature by systematising the links between firms' strategies (corporate and business) and the cluster dynamics (CLC).

The purpose of this paper is to explore maintenance strategies for manufacturing equipment in Chinese firms.

Data were collected from Chinese companies using a questionnaire administered during face‐to‐face interviews and two established methodologies in strategic management research, exploratory factor analysis and cluster analysis, were used to analyze the data.

The results suggest that despite increasing competitive capabilities of Chinese firms, their maintenance strategies are often restricted to corrective maintenance. Only very few Chinese firms have already implemented predictive maintenance approach, total productive maintenance programs or the strategic outsourcing of maintenance activities.

The research limitations stem from typical issues related to the use of exploratory factor analysis and cluster analysis (for example reliance on the subjective judgment of the researcher or the provision of clusters although no meaningful groups are embedded in the sample).

The findings highlight potential strategies for Chinese firms to improve their maintenance management.

This paper deals with a neglected area of operations management by exploring the maintenance approaches in fast growing Chinese manufacturing industries.