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The essential investments in new product development (NPD) made by industrial companies entail effective management of NPD activities. In this context, performance measurement is one of the means that can be employed in the pursuit of effectiveness.

In order to shed light on the implications of the business intelligence (BI) for management accounting (MA) and decision making, this study investigates as to how the use of the BI affects the production, transmission, and reception of performance measures (PM).

To investigate the issue at hand, a case study of an Italian company is carried out. The case study method is deemed suitable to explore the complex, penetrating, and unpredictable relationship between BI and PM.

The case analysis shows that the use of the BI can affect the production of PM by leading the organization to frame PM into an indicator setting. Moreover, the BI can affect the transmission by introducing a new, “visual” approach for presenting PM to decision makers, which is also relevant in the reception as a mobilizing factor.

This study contributes to improving the understanding of BI implications for MA and decision making, which is still limited in the accounting academia. Additionally, this research adds to extant knowledge about the relationship between measurement and management; more specifically, it contributes to understanding the “fate” of PM.

Furthermore, the findings illustrated in this chapter can be relevant from a practical point of view: by showing the role that BI solutions can play in producing and transmitting PM, the study shows the potential contribution of the use of the BI in managing and overcoming problems arising in these phases, favoring the use of these measures.

This study aims to provide an integrated view of performance measurement systems (PMS) by developing a taxonomy reflecting the interdependencies among various PMS aspects. This study aims to move the study of PMS from a cartesian form of contingency fit to a configuration form. More specifically, the following research question is investigated in this study: To what extent do similar patterns across various dimensions of PMS occur with regularity? Using a survey approach to collect data from a sample of manufacturing firms, this study aims to develop a taxonomy based on three aspects of the PMS process, namely the design (i.e., the mix of financial, customer, internal processes, innovation and learning measures), the use (i.e., monitoring, strategic decision-making, attention-focusing, legitimization), and the revision (i.e., the addition, deletion, and changes in performance indicators). Three patterns of relationships reflecting the role and importance of PMS within the organization emerge: (a) PMS as an outcomes surveillance mechanism, (b) PMS as a management support tool, and (c) PMS as an institutionalized organizational process. This study contributes to the management accounting literature by providing a different understanding of the various levels of integration of PMS within organizational routines.

Purpose: There have been continuous developments in the production industry to meet the increasing customer demand from the past to the present. At this point, supply chain management (SCM) systems emerge as an important topic. SCM is a set of systems that manages the entire process from the production of a product to its delivery to the end user. Industry 4.0 aims to improve the production industry by increasing the quality, efficiency, and performance of the production process. Therefore, in this chapter, the authors highlight the challenges, benefits, and future trends of the combination of Industry 4.0 and SCM systems.

Methodology: In this chapter, the integration of Industry 4.0 and SCM systems was investigated. For this purpose, the Industry 4.0 position of the countries and the current status of SCM systems have been examined. In addition, the key technologies in the Industry 4.0 transformation, the possible problems encountered in the transformation, the deficiencies encountered in SCM systems, and how these deficiencies can be solved with Industry 4.0 were investigated.

Findings: The results of this study show that companies that use an SCM system can separate themselves from their competitors by using Industry 4.0 technologies.

Significance: This can allow them to achieve their strategic goals and to ensure the maintenance of their competitive advantage.

Despite arguments that traditional product costing and variance analysis operate contrary to the strategic goals of advanced manufacturing practices such as just in time (JIT), total quality management (TQM), and Six Sigma, little empirical evidence exists that cost accounting practices (CAP) are changing in the era of continuous improvement and waste reduction. This research supplies some of the first evidence of what CAP are employed to support the information needs of a world-class manufacturing environment. Using survey data obtained from executives of 121 U.S. manufacturing firms, the study examines the relationship between the use of JIT, TQM, and Six Sigma with various forms of traditional and non-traditional CAP. Analysis of variance tests (ANOVA) indicate that most traditional CAP continue to be used in all manufacturing environments, but a significant portion of world-class manufacturers supplement their internal management accounting system with non-traditional management accounting techniques.

Ila Semenick Alam is an associate professor. She received her Ph.D. in 1995 from Rice University in Houston, Texas. Her primary fields of specialization are applied econometrics and productivity in various sectors including the airlines, healthcare, and financial institutions. She has published in: Journal of Productivity Analysis, International Economic Review, World Bank Economic Review, Journal of Money, Credit and Banking, Singapore Economic Review, and Productivity and Economic Performance in the Asia-Pacific Region.

An environmental accident at a Placer Dome mine triggered a contagion effect across the Canadian mining industry. The decline in equity prices was moderated by prior disclosure of a high-level commitment to environmental management. Investors appear to interpret this information as a signal of expertise in the management of environmental risks and costs. The same companies are positioned to make the most credible financial disclosures about environmental management, and yet the evidence suggests that financial disclosures themselves have a negative impact on company value. There may be a miscommunication between investors and analysts on the one hand and mining company executives on the other, which could explain why mining company managers report their companies’ shares are undervalued.

The objective of this study is to investigate how country risk, different political actions from the government and bureaucratic behavior influence the activities in industry supply chains (SCs) in emerging markets. The main objective of this study is to investigate the influence of these external stakeholders’ elements to the demand-side and supply-side drivers and barriers for improving competitiveness of Ready-Made Garment (RMG) industry in the way of analyzing supply chain. Considering the phenomenon of recent change in the RMG business environment and the competitiveness issues this study uses the principles of stakeholder and resource dependence theory and aims to find out some factors which influence to make an efficient supply chain for improving competitiveness. The RMG industry of Bangladesh is the case application of this study. Following a positivist paradigm, this study adopts a two phase sequential mixed-method research design consisting of qualitative and quantitative approaches. A tentative research model is developed first based on extensive literature review. Qualitative field study is then carried out to fine tune the initial research model. Findings from the qualitative method are also used to develop measures and instruments for the next phase of quantitative method. A survey is carried out with sample of top and middle level executives of different garment companies of Dhaka city in Bangladesh and the collected quantitative data are analyzed by partial least square-based structural equation modeling. The findings support eight hypotheses. From the analysis the external stakeholders’ elements like bureaucratic behavior and country risk have significant influence to the barriers. From the internal stakeholders’ point of view the manufacturers’ and buyers’ drivers have significant influence on the competitiveness. Therefore, stakeholders need to take proper action to reduce the barriers and increase the drivers, as the drivers have positive influence to improve competitiveness.

This study has both theoretical and practical contributions. This study represents an important contribution to the theory by integrating two theoretical perceptions to identify factors of the RMG industry’s SC that affect the competitiveness of the RMG industry. This research study contributes to the understanding of both external and internal stakeholders of national and international perspectives in the RMG (textile and clothing) business. It combines the insights of stakeholder and resource dependence theories along with the concept of the SC in improving effectiveness. In a practical sense, this study certainly contributes to the Bangladeshi RMG industry. In accordance with the desire of the RMG manufacturers, the research has shown that some influential constructs of the RMG industry’s SC affect the competitiveness of the RMG industry. The outcome of the study is useful for various stakeholders of the Bangladeshi RMG industry sector ranging from the government to various private organizations. The applications of this study are extendable through further adaptation in other industries and various geographic contexts.