Systematic review of sourcing and 3D printing: make-or-buy decisions in industrial buyer–supplier relationships

Management Review Quarterly - Additive manufacturing (AM) is regarded as a technology that has transformative and disruptive potential in nearly all industries. However, AM is not only about new...     

Random Effects Misspecification Can Have Severe Consequences for Random Effects Inference in Linear Mixed Models

There has been considerable and controversial research over the past two decades into how successfully random effects misspecification in mixed models (i.e. assuming normality for the random effects when the true distribution is non‐normal) can be diagnosed and what its impacts are on estimation and inference. However, much of this research has focused on fixed effects inference in generalised linear mixed models. In this article, motivated by the increasing number of applications of mixed models where interest is on the variance components, we study the effects of random effects misspecification on random effects inference in linear mixed models, for which there is considerably less literature. Our findings are surprising and contrary to general belief: for point estimation, maximum likelihood estimation of the variance components under misspecification is consistent, although in finite samples, both the bias and mean squared error can be substantial. For inference, we show through theory and simulation that under misspecification, standard likelihood ratio tests of truly non‐zero variance components can suffer from severely inflated type I errors, and confidence intervals for the variance components can exhibit considerable under coverage. Furthermore, neither of these problems vanish asymptotically with increasing the number of clusters or cluster size. These results have major implications for random effects inference, especially if the true random effects distribution is heavier tailed than the normal. Fortunately, simple graphical and goodness‐of‐fit measures of the random effects predictions appear to have reasonable power at detecting misspecification. We apply linear mixed models to a survey of more than 4 000 high school students within 100 schools and analyse how mathematics achievement scores vary with student attributes and across different schools. The application demonstrates the sensitivity of mixed model inference to the true but unknown random effects distribution.     

Information processing and leadership styles: Constructive thinking and transformational leadership

Transformational leaders increase job satisfaction and well‐being among workers. According to the cognitive‐experiential self‐theory (CEST), all behavior is guided by two information‐processing systems: a rational and an experiential system. Study 1 examined the relationship between information processing and transformational leadership among experienced school leaders (N = 183). The rational system had a strong positive correlation with transformational leadership, whereas the experiential system was weakly correlated. Study 2 (N = 126) examined constructive thinking and transformational leadership. Global constructive thinking, emotional coping, and behavioral coping all had strong positive correlations with transformational leadership. These results suggest that improving leaders' awareness of their own information‐processing and thinking systems might encourage more productive transformational‐leadership techniques.     

Analysing enterprise architecture maturity models: a learning perspective

In order to aid organisations in the adoption of enterprise architecture (EA) best practices, maturity models have been proposed in the literature. These models offer organisational roadmaps and assessment frameworks for increasing EA maturity. However, key questions concerning the implied meaning of the term maturity in the context of these models have been left unexplored by previous research. This research, aided by the field of organisational learning, offers new insights into the implied assumptions of current EA maturity models and offers initial concepts and constructs to guide the conceptualisation, construction and refinement of enterprise maturity models.     

Design and development of inventory knowledge discovery system

Inventory management (IM) performance is affected by the forecasting accuracy of both demand and supply. In this paper, an inventory knowledge discovery system (IKDS) is designed and developed to forecast and acquire knowledge among variables for demand forecasting. In IKDS, the TREes PArroting Networks (TREPAN) algorithm is used to extract knowledge from trained networks in the form of decision trees which can be used to understand previously unknown relationships between the input variables so as to improve the forecasting performance for IM. The experimental results show that the forecasting accuracy using TREPAN is superior to traditional methods like moving average and autoregressive integrated moving average. In addition, the knowledge extracted from IKDS is represented in a comprehensible way and can be used to facilitate human decision-making.     

Working and Caring for a Child with Chronic Illness: Challenges in Maintaining Employment

This paper shares some pertinent findings from an initial, qualitative stage of a larger, national study currently being undertaken in Australia, exploring the support needs of parents who are working full time and caring for a child with chronic illness. The findings presented here depict the negative impact of these parents caring responsibilities on their work life and the increased stress they experience trying to maintain full time employment. In-depth interviews revealed how these parents had to rearrange their working hours, use up their leave entitlements, work unsatisfactory hours, sacrifice their careers and even change their jobs in order to balance their dual roles. In addition, the findings also highlight the negative and unsupportive attitude that employers had towards these parents. These employment conditions were extremely stressful and frustrating for parents affecting their physical and emotional well being.     

Offshore Outsourcing: Implications for International Business and Strategic Management Theory and Practice

abstract    In this essay, I discuss the implications of the debate over offshoring for our collective understanding of international business and management theories. I review several core theories in international business expansion and management strategy to assess which elements of these theories may need to be re-specified in light of the offshoring phenomenon and which aspects remain relevant. I then present normative implications and recommendations for public policy and corporate strategy, drawing from emerging insights regarding the global responsibilities of corporations. I suggest that international labour and environmental standards and corporate codes of conduct could mitigate some of the most intense concerns raised about offshoring but conclude that offshoring is likely to present challenges to societies, corporations, and stakeholders for many decades.     

Kings and Vikings: on the dynamics of competitive agglomeration

This paper proposes a theory of competitive agglomeration—a new enquiry into the origins of hierarchical structures and governments. As a motivating example we analyze the Viking age—the roughly 300 year period beginning in 800 AD—from the perspective of the economics of conflict. The Viking age is interesting because throughout the time period, the scale of conflict increased—small scale raiding behaviour eventually evolved into large scale clashes between armies. With this observation in mind, we present a theoretical model describing the incentives both the defending population and the invading population had to agglomerate into larger groups to better defend against attacks, and engage in attacks, respectively. We tentatively postulate that competitive agglomeration during the Viking era was a key impetus to state formation in Europe.