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The development of strategic supply chain mapping techniques has been slowed by four critical issues. The purpose of this paper is to answer a call to address supply chain mapping techniques and issues. It offers recommendations for more readable and useful strategic supply chain maps.

The paper utilized executive MBA, traditional MBA, and graduating logistics undergraduates' applied economic input/output data to refine mapping techniques.

The paper addresses strategic supply chain mapping issues to serve as the next step in advancing the evolution of strategic supply chain mapping techniques. It utilizes geovisualization to provide useful guidance to individuals trying to map their current supply chain and seeking potential improvements.

The paper is limited in that strategic supply chain mapping is in its infancy. Future research may consider use of the technique comparing alternative approaches to a supply chain, as well as the application of Pareto analysis and other metrics to focus on critical components for mapping.

The use of input/output analysis initiates mapping at the macro industry level as a key starting point. Geovisualization techniques allow those mapping to offer a great amount of detail in a simple, easy‐to‐read format to identify the critical components of the specific supply chain.

This paper is the critical next step to help further advance the evolution of strategic supply chain mapping techniques by both practitioner and academic.

Often businesses fail, or fail to reach their true potential, for strategic rather than operational reasons. This type of failure may be caused because the key decision makers in such firms are not well informed about the strategic landscape in which their firm operates. A military analogy is used to show that successful military campaigns are often predicated upon having accurate maps. Similarly, competitive strategies followed by firms are likely to be more successful if key decision makers possess accurate strategic maps which display the location of their own and rival firms. In other words, those firms which have detailed knowledge of their strategic landscapes are likely to enjoy significant competitive advantage, while firms which are in ignorance of their strategic landscape are less likely to be able to navigate a route that will confer sustained competitive advantage. A firm’s strategic landscape is analysed in terms of: the firm’s true competitive position, the industry conditions under which the firm and its competitors operate and the core strategies that firms in the industry are following. This paper analyses an approach to strategic mapping developed by a major new independent strategic database called CAM (Competitive Analysis Model). This database has been built to aid small firms improve their results through generating accurate strategic maps. These maps enable client firms to assess their strategic locations and performances longitudinally, sectorally and cross‐sectionally. Finally, CAM clients appear to have outperformed similarly structured non‐CAM firms.

The purpose of this paper is to review, integrate and extend the methods for constructing and interpreting a strategic groups map. A strategic groups map is a visualization tool for capturing the essence of the competitive landscape in an industry: extent of competition between and among strategic groups, mobility barriers, available niches, positioning and industry dynamics.

This paper extends Porter’s (1980, pp. 152-155) original prescriptions by reviewing the research on strategic groups in the almost 40 years since Porter’s contribution and by amalgamation of practitioners’ uncodified practices.

The process for constructing a strategic groups map consists of five steps: first, define the industry; second, identify strategic characteristics that distinguish between groups; third, divide firms into groups; forth, select the two main dimensions of the map, and draw the map; and five, interpret the map. Specific instructions are provided for practitioners and academic researchers. Several examples of strategic groups maps illustrate this. Ways to interpret the maps are discussed, followed by limitations and conclusion.

Though the topic of strategic groups has been widely researched since the 1980s, there has been very little done in the area of mapping these groups, leaving scholars of businesses and industries with few directions for constructing strategic groups maps. To fill this gap, a structured process for constructing and interpreting a strategic groups map is provided.

The purpose of this paper is to report the level of adoption and benefit obtained from a range of management accounting practices (MAPs) in Thai organizations and analyze to these by reference to various strategic typologies.

Contingency theory, proposing a fit between MAPs and a comprehensive set of strategic typologies is used. Factor analysis, cluster analysis, and Kruskal-Wallis one-way ANOVA is applied to analyze the data and test the hypotheses.

It was observed that firms pursuing differentiation/prospector/entrepreneurial/build strategies significantly report higher benefit from contemporary MAPs. Firms with a cost leadership strategy were, as expected, found to obtain higher benefit from traditional MAPs. Contrary to expectations, entrepreneurial firms reported higher benefit from traditional MAPs than conservative firms.

Like all survey work this relies on questionnaire responses of individual organization members. A selection approach was adopted so no direct relationship with organization performance was investigated.

Although use of the full range of MAPs is reported there is still reliance on traditional MAPs. Hence further exposure of businesses and practitioners to contemporary techniques is recommended in training, professional development, and interactions with international partners.

The paper provides insight into MAPs in Thailand, an emerging economy and one with limited published academic research in management accounting. It incorporates four strategic typologies which previously have been mainly used individually in MA research.

This paper aims to explore the relationship between the components of the management control system (MCS) based on the reform process of the management system of China Resources Group and the influence of these components on the implementation effect of MCS.

This study uses an exploratory research method and an open-ended grounded theory approach to conduct six formal investigations and several in-depth interviews with employees and senior management in China Resources Group. This paper supplements these data by performing a documentary analysis of the internal documents of China Resources Group such as the statistical yearbook, business plan and meeting records.

This study puts forward four propositions. The formal strategic planning process creates an application environment for the strategy map and balanced scorecard (BSC), making it easier for an enterprise to adopt these tools. The combination of the strategy map and formal strategic planning helps to build the logical relationship between strategic goals and budget goals and strengthens the correlation between budget and strategy. In diversified organizations applying MCS, the strategy map and BSC facilitate the implementation of the strategy for specialized business units, while the financial measure system facilitates the implementation of the strategy for diversified business units. Strategic boundaries based on financial measures in the MCS help organizations determine the scope of strategic choices before implementing strategies.

Because of the chosen research approach, the research results may lack generalizability and the influence of the strategic planning process on budget participation, budget slack and other budget behaviors has not been fully discussed. Therefore, future studies are expected to provide more evidence regarding strategic planning and budget behaviors.

Before establishing a strategy map and BSC, the enterprise should consider the application environment to ensure their feasibility and legitimacy and construct the BSC system under appropriate conditions. A formal strategic planning process should be formed within the enterprise; that is, a set of detailed management methods should be adopted and clear rules should be used to support the enterprise management control process. The enterprise should add strategic boundaries to the MCS to determine the scope of strategic choices and the budgeting bottom line.

This paper sheds light on the impact of the formal strategic planning process on the organization and contributes new evidence on the key success factors for implementing the strategy map and BSC, enriching the researchers’ understanding of the applicability of the BSC.

The purpose of this paper is to study how the design of a strategy map can be supported by measures expressing the customers’ perceptions about strategic factors and their related determinants. In particular, managers are provided with a fact-based test useful to revise prior knowledge and beliefs.

A case study is used to describe the adoption of the partial least squares path modelling (PLS-PM) approach to structural equation modelling in order to compare competing strategy maps and select the one that best fits customer perceptions. A focus group was organised to design the strategy maps, which were tested through a survey of 600 randomly selected resellers.

The empirical-based validation of a causal map by using PLS-PM may effectively stimulate a revision of managers’ collective perceptions about a phenomenon characterised by implicit knowledge, as in the case of customer needs.

The case-study company operates in a business-to-business environment, and thus only the needs of direct customers have been included in the analysis. Final users’ needs should also be considered, even if different solutions are required for data collection.

The proposed approach provides a set of indicators which allow managers to identify strategic priorities, thus facilitating decision making and strategic planning.

In the strategic management literature, few attempts have been made to operationalise the complex and multidimensional latent constructs of a strategy map combining managers’ implicit knowledge and empirical validation in a “holistic” manner. The adoption of PLS-PM is relatively new in testing the accuracy of causal maps.

Research has highlighted the cognitive nature of the business model intended as a cognitive representation describing a business’ value creation and value capture activities. Although the content of the business model has been extensively investigated from this perspective, less attention has been paid to the business model’s causal structure – that is the pattern of cause-effect relations that, in top managers’ or entrepreneurs’ understandings, link value creation and value capture activities. Building on the strategic cognition literature, this paper argues that conceptualizing and analysing business models as cognitive maps can shed light on four important properties of a business model’s causal structure: the levels of complexity, focus and clustering that characterize the causal structure and the mechanisms underlying the causal links featured in that structure. I use examples of business models drawn from the literature as illustrations to describe these four properties. Finally, I discuss the value of a cognitive mapping approach for augmenting extant theories and practices of business model design.

The purpose of this paper is to identify the accurate cause and effect relationships among strategic objectives and also to demonstrate how decision makers can be guided in the process of defining quantitative strategic target values in the framework of balanced scorecard (BSC) and performance measurement system.

Based on the proposed method in this research, after determining strategic objectives and developing an initial strategy map according to decision makers’ opinions, simultaneous equations system (SES) was used to determine the significance of the relationships among strategic objectives in higher perspectives of the BSC and corresponding strategic objectives in lower perspectives. Afterward, desirable values for performance measures were determined based on the equations and relationships obtained through SES and were optimized by goal programming method.

By applying the proposed method, a clearer picture of the associations among strategic objectives is obtained and the influence of strategic objectives on one another is determined. Afterward, optimal values for strategic objectives are determined to achieve the organization’s goals.

This paper proposes a framework for constructing a strategy map and setting quantitative targets in the framework of BSC. Indeed, this paper presents a case study to demonstrate the applicability and effectiveness of the proposed approach. However, SES technique requires a greater amount of data to generate more accurate results. Although the advent of the Information Age has forced organizations’ decision makers to provide sufficient information and data for business analysis, the data requirements are met.

The presented quantitative approach is a supporting approach for improving decision makers’ opinions and enabling them to reach a more accurate picture of the relationships, valuing strategic objectives and achieving strategic goals. This research also presents a case study to demonstrate the applicability of the proposed approach. The application and implication of the proposed method in banking services show that the contributions of the paper are not only theoretical, but also practical.

The proposed method provides a novel approach for determining the most appropriate targets and applies a comprehensive and scientific model together with decision makers’ opinions and experiences and has two main contributions: first, the associations among strategic objectives are investigated and obtained in an effective way by conducting the SES for the first time in the framework of BSC. Second, quantitative targets have been determined to help in achieving the long-term goals. This task has been accomplished through a combination of SES, the three-stage least squares regression analysis and optimization by using weighted goal programming method.

The purpose of this paper is to propose a quantitative methodology for setting targets in the framework of Balanced Scorecard (BSC) in order to achieve vision and goals.

Response Surface Methodology is proposed to find the significant relationships that should be included in the strategy map and the optimal values of performance measures are assessed by using the desirability function-based approach of RSM. The proposed method was created by reviewing the existing literature, modeling the problem, and applying it in an oil company. In fact, RSM is used to execute the design matrix, analyze the collected data, extract models, analyze the results, and optimize the procedures that generate multiple responses.

By applying this methodological design, a clearer picture of the relationships between strategic objectives is obtained and the influence of strategic objectives on one another is determined. Afterward, optimal values for performance measures are determined.

This paper proposes a framework for constructing a strategy map and setting quantitative targets to translate the goals and strategies into corresponding performance measures and targets. Also, this paper presents a case study to demonstrate the applicability and effectiveness of the proposed approach. However, RSM-based techniques require a greater amount of data to generate more accurate results. Although the advent of the Information Age has forced organizations’ decision makers to provide sufficient information and data for business analysis, the data requirements of RSM-based techniques are met.

In practice, the process of setting targets for performance measures can be challenging in terms of reaching a consensus between managers and decision makers. The findings of this paper can offer a new approach for performance evaluation based on the BSC which allows the organization’s decision makers to reach a more accurate picture of the relationship model between organization goals and those objectives within the BSC. It also demonstrates how decision makers can be guided in the process of defining performance target values in the BSC method.

Reviewing the literature on setting quantitative targets within the framework of the BSC showed no prior study in which RSM is used. This approach has two main contributions: the associations among strategic objectives are investigated and obtained in an effective way which analytically identifies the direction and degree of the relations among the performance measures. Considering the performance evaluation structure based on the BSC, quantitative targets have been determined to help in achieving the long-term goals of the organization. The application of the proposed method in a company showed that the contributions of this research are not only theoretical, but practical as well.