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Feng found that political institutions (operationalized in terms of political repression, political instability and policy uncertainty) do matter for economic growth by constraining individuals’ decisions in their marketplace (Feng, 2003, p. 296). Political stability is also an important element among the World Governance Indicators developed by Kaufmann et al. as part of the World Bank project to assess good governance in 1996. Economic well-being is also dependent on political stability and consistency in governance policy. Loss of economic and political confidence is therefore accepted as a factor affecting economic well-being of a society. How far these hypotheses are supported or negated by evidence from Northeast region of India that has witnessed insurgency for six decades now is the object of enquiry in this chapter. Alongside pure economic indicators such as Gross State Domestic Product (GSDP) and FDI, this article looks at the play of political factors like stability of governments in the representative democratic paradigm sanctioned by the Constitution of India in the Northeastern states of India during the decade 2006–2016.

The purpose of this paper is to examine the cost/benefit (C/B) analysis of four configurations for a repairable system with two primary components/units and one standby.

The four configurations are set to the status of the detection and switching failure of standby, as well as the possible reboot of failed units. The time to failure for each of the primary and standby is assumed to follow an exponential distribution. The time to repair and the time to reboot is assumed to have a k‐stage Erlang distribution. The paper develops the explicit expressions of the mean time to failure (or MTTF) and the steady‐state availability (or A) for four various configurations and performed some comparative analysis. Based on the C/B criterion, comparisons are made for specific values of distribution parameters and of the costs of the units. The four various configurations for a repairable system are ranked by using MTTF, A and C/B, where B is either MTTF or A.

Although it is uncertain which configuration is the optimal one among the four ones, the paper provides much comparative information to manager and manufacturers. Managers can use these results to choose the best configuration according to the used data of parameters and selections of the weight of MTTF or Cost/MTTF.

This paper shows a comparative analysis for a two‐unit online repairable system with one standby under four different configurations. It is the first discussion of comparable work on reliability and availability models for redundant repairable systems in which the units are characterized by detection, switching failure and reboot.

The purpose of this paper is to propose a procedure to construct the membership functions for a one-unit repairable system, which has both active and standby redundancy. The coverage factor is the same for the operating and standby unit failure.

The α-cut approach is used to extract a family of conventional crisp intervals from the fuzzy repairable system for the desired system characteristics. This can be determined with a set of non-linear parametric programing using the membership functions.

When system characteristics are governed by the membership functions, more information is provided to use by management. On the other hand, fuzzy theory is applied for the redundant system; therefore, the results are more useful for designers and practitioners.

Different from other studies, the authors’ model provides more accurate estimation compared to uncertain environments based on fuzzy theory. The research would help managers and manufactures to make a better decision in order to have the optimal maintenance strategy based on the desired mean time to failure and availability of the systems.

The purpose of this study is to develop Markovian model to obtain the transient probabilities to determine mean-time-to-failure and reliability function and further steady state availability of the repairable system. As the system parameters are uncontrollable factors; thus the life times, repair times and recovery/reboot time are assumed to be as uncertain or fuzzified distributions.

The fuzzy approach is introduced to investigate the reliability measures of load sharing repairable system which consists of two operating units and one standby unit. On the failure of an operating component, it is instantly spotted, located and sent for recovery procedures with coverage probability. In case of imperfect recovery, reboot takes place.

On the basis of extension principle and mathematical programming approach, the authors establish membership functions for system characteristics with the help of α-cuts. To demonstrate the practical validity of the proposed fuzzified model, numerical illustrations are performed.

The model proposed for reliability analysis may cheer up the continuance of the work towards more applications in repairable systems. Therefore, the reader is provided with useful intuition into the nature of fuzzy computations and practical amendments while measuring ambiguous data.

For over 20 years, management control literature has indicated the importance of supporting the strategy development and implementation process with strategic performance measurement systems (SPMS) and integrating traditional financial indicators with a set of multidimensional forward-looking measures focusing on the long term and linked to cause-effect relationships. Nevertheless, knowledge on the specific SPMS models used in practice and their effectiveness in supporting the managerial decision-making process is still fragmented and ambiguous. The purpose of this paper is to first analyse the SPMS models used in practice, also considering the role of strategy and firm size as drivers of adoption, thereafter analysing the capability of SPMS models to provide managers with measures that are consistent with their strategic information needs.

The research is based on a survey involving 88 Italian medium-large sized firms (or subsidiaries of multinational firms) operating on a global level.

The cluster analysis identifies two very different SPMS models used in practice. The first is the Short-term Financial Model, and as its name indicates, is based on short-term, internally focused and unconnected financial indicators. The second is the Multidimensional Additive Model, which integrates financial and non-financial measures but without a fully developed fit with the strategy. The research primarily indicates unsatisfied information needs in both clusters, presenting a significant challenge to the further development of existing SPMS models and in defining new theoretical SPMS frameworks.

The adoption of an incremental approach to SPMS, simply adding new operational and strategic non-financial measures without a real fit with the strategy does not increase the information effectiveness of the system.

The paper analyses the characteristics and use of SPMS models in practice from an exploratory perspective, defining and applying a model to evaluate the information effectiveness of SPMS.