Strategic Manufacturing Planning Systems and Their Linkage to Planning System Success

Academics and practitioners alike are focusing more attention on manufacturing strategy after having recognized the important role it plays in shaping the success of industrial firms. Even though research in this area has increased in the last decade, the focus of much of that work has been on the content rather than the process of the manufacturing strategy. Consequently, this study attempts to understand the important elements of the strategic manufacturing planning process and its effectiveness. Borrowing from the extant literature in the fields of strategic management and information systems, we propose a research model that relates strategic manufacturing planning system design to planning system success. Using structured questionnaires, empirical data is collected from over 200 manufacturing executives to test the model hypotheses. Planning process in manufacturing was found to be a bottom‐up approach from a corporate or business perspective, which differs from the top‐down planning process prevalent in strategic information systems planning process. Findings also indicate that greater planning system success in manufacturing is associated with a planning system that combines some “rational” elements (formality, comprehensiveness, control focus, longer horizon) with others that lend adaptability (wider participation and more intense interaction). But the strategic manufacturing planning system is more than just a collection of independent planning characteristics. Instead, it can be viewed as a gestalt planning system whereby planning characteristics move together in affecting overall planning system success.     

Box–Cox power transformation unconditional quantile regressions with an application on wage inequality

This study proposes a semi-parametric estimation method, Box–Cox power transformation unconditional quantile regression, to estimate the impact of changes in the distribution of the explanatory variables on the unconditional quantile of the outcome variable. The proposed method consists of running a nonlinear regression of the recentered influence function (RIF) of the outcome variable on the explanatory variables. We also show the asymptotic properties of the proposed estimator and apply the estimation method to address an existing puzzle in labor economics–why the 50th/10th percentile wage gap has been falling in the USA since the late 1980s. Our results show that declining unionization can explain approximately 10% of the decline in the 50/10 wage gap in 1990–2000 and 23% in 2000–2010.     

Business model design–performance relationship under external and internal contingencies: Evidence from SMEs in an emerging economy

We examined Business Model (BM) designs – performance relationship and the moderating effects of firm age and external environment on this relationship. Furthermore, we investigated the impact of simultaneously operating dual BM designs (i.e. novelty and efficiency) on firm performance and contingent effect of firm age on this relationship. Based on data from 241 Indian SMEs, our findings highlighted that BM novelty was of greater benefit to younger SMEs compared to mature SMEs, while BM efficiency was of greater benefit to more mature SMEs. The environmental dynamism positively moderated the relationship between BM novelty and performance but it negatively moderated the relationship between BM efficiency and performance. We also found that BM efficiency is more beneficial in a low, rather than a high, munificent environment but we found environmental munificence did not moderate the BM novelty and SME performance relationship. Finally, we found simultaneous deployment of BM novelty and BM efficiency resulted in an enhancement of performance among mature SMEs compared to younger SMEs. Our study not only adds to the limited literature on BMs in SMEs but also helps practicing managers and entrepreneurs to make informed choices about their BMs.     

Modelling critical success factors for sustainability initiatives in supply chains in Indian context using Grey-DEMATEL

Sustainability assists organisations to enhance ecological, financial and societal performances of their entire supply chains. The present paper uncovers the Critical Success Factors (CSFs) for effective adoption of sustainability initiatives in the supply chain in Indian context. Fifteen CSFs for the successful adoption of sustainability initiatives were identified and finalised firstly from the literature and followed by expert inputs. A methodology based on Grey-Decision Making Trial and Evaluation Laboratory (DEMATEL) was used to envisage the organisation of complex causal relationships between the recognised CSFs. ‘Government Legalisation’ has been found to be the most influential factor and ‘Community Welfare and Development’ is most easily influenced factor. A multiple case example of three automotive companies operating in India is conducted. To the end, some important policy measures and recommendations are proposed to help practicing managers and government bodies to adopt and effectively manage the concepts of sustainability oriented supply chains in India.     

Education for all – but not Hong Kong’s ethnic minority students

School participation rates in Hong Kong are acknowledged to be high but not always for the city’s ethnic minority students. Case study was used to portray the ‘out of school’ phenomenon for ethnic minority students at a secondary school in Hong Kong through the experiences of one such ethnic minority student. Morshed, a Pakistani student, participated with the researchers in an unstructured in-depth interview. In addition, interviews were also conducted with the principal, two teachers, and one support staff from the school. The study showed the complex interaction of school contexts and personal life issues that influenced Morshed’s dropping out of school. Implications are drawn for providing better school support that can facilitate more positive schooling experiences for Hong Kong’s ethnic minority students.     

Effect of best management practices on the performance and productivity of small firms

Abstract

Recent research on productivity finds that best management practices are a crucial but neglected element in explaining firm productivity. This stream of research also focuses on why a large number of firms may not implement best management practices despite their apparent benefits. In this paper, we examine the adoption of best management practices in small leveraged buyout (LBO) firms. Our choice of small LBO is motivated by the fact that these firms undergo extensive restructuring and, therefore, there is an opportunity to study the adoption process of best management practices. The findings show that buyout companies introduce best management practices (operations, monitoring, targets and incentive-related practices) at different stages of their development, and more importantly, these practices evolve in response to changes in various firm-level characteristics. For example, companies emphasizing cost leadership tend to follow targets and monitoring related practices while firms following a differentiation strategy are more likely to implement incentives and operations related management practices. Buyout sponsors’ board representatives and new CEO also play a critical role in the adoption of these best management practices which are linked to superior firm performance, measured as growth in revenues, productivity and return on assets.     

Different Approaches to Identify the Poor: Do They converge?

In this paper, the convergence among four main approaches (monetary, capability, social exclusion and participatory) of identifying the poor and estimating poverty has been calculated based on data collected from Kesla block of Hoshangabad district of Madhya Pradesh state in India. The results suggest that there are divergences among these methods indicting that one method cannot be substituted for others.     

A two-stage unrelated randomized response model for estimating a rare sensitive attribute in probability proportional to size sampling using Poisson distribution

This paper describes the estimating procedures of mean number of entities that possess a rare sensitive attribute using the Mangat (1992) randomized device, when the population consists of some clusters and the population is again stratified with some clusters in each stratum. Unbiased estimation procedures for the mean number of individuals have been discussed and their properties are described when the parameter of a rare unrelated attribute is assumed to be known and unknown. An empirical study is carried out to show the dominance of the proposed estimator over Lee et al. (2013) estimator.     

Corporate growth,sustainability and business ethics in twenty-first century

Journal of Management and Governance -     

Estimation and prediction for Chen distribution with bathtub shape under progressive censoring

We consider estimation of the unknown parameters of Chen distribution [Chen Z. A new two-parameter lifetime distribution with bathtub shape or increasing failure rate function. Statist Probab Lett. 2000;49:155–161] with bathtub shape using progressive-censored samples. We obtain maximum likelihood estimates by making use of an expectation–maximization algorithm. Different Bayes estimates are derived under squared error and balanced squared error loss functions. It is observed that the associated posterior distribution appears in an intractable form. So we have used an approximation method to compute these estimates. A Metropolis–Hasting algorithm is also proposed and some more approximate Bayes estimates are obtained. Asymptotic confidence interval is constructed using observed Fisher information matrix. Bootstrap intervals are proposed as well. Sample generated from MH algorithm are further used in the construction of HPD intervals. Finally, we have obtained prediction intervals and estimates for future observations in one- and two-sample situations. A numerical study is conducted to compare the performance of proposed methods using simulations. Finally, we analyse real data sets for illustration purposes.