On the quest for supply chain transparency through Blockchain: Lessons learned from two serialized data projects

The ability to look into the supply chain has long enticed SCM scholars and practitioners. The possibilities created by such visibility are endless—from risk reduction and continuity planning to inventory management and cost reduction, nothing is off the table when end‐to‐end visibility is a possibility. Because of such enticements, there is usually much buzz in the industry every time a new technology that promises visibility and transparency is brought forward. Yet, years later, stories sometimes emerge that said technologies either failed to deliver or were not everything they were made out to be. Blockchain is yet another emerging technology in this space. Some consultants promise that it will be the final answer to the transparency and visibility woes that companies currently face. Yet, there is little empirical investigation regarding how the technology may benefit adopters, what the bottlenecks may be, and to what extent it may be able to deliver on these promises, without massive system‐wide upgrades of extant hardware and computing prowess. The current study takes a step in this direction by investigating a blockchain‐driven proof of concept across an industry consortium to identify promises, possibilities, and challenges of blockchain.     

The Effects of Occupational Injuries After Returns to Work: Work Absences and Losses of On-the-Job Productivity

We extend the research on postinjury employment by estimating productivity losses for workers with permanent partial disabilities (PPDs) in the first three years after injury. Our method distinguishes between productivity losses attributed to spells of work absence versus reduced earnings during spells of employment. The method is applied to data for 800 Ontario workers with PPDs. The results document large productivity losses persisting at least three years after injury, with different loss patterns for workers returning to stable versus unstable employment. Human capital investments or job accommodations can reduce productivity losses, but the significant determinants of losses differ for the stable versus unstable employment groups.     

OPTIMAL FORECAST COMBINATION UNDER REGIME SWITCHING*

This article proposes a new forecast combination method that lets the combination weights be driven by regime switching in a latent state variable. An empirical application that combines forecasts from survey data and time series models finds that the proposed regime switching combination scheme performs well for a variety of macroeconomic variables. Monte Carlo simulations shed light on the type of data‐generating processes for which the proposed combination method can be expected to perform better than a range of alternative combination schemes. Finally, we show how time variations in the combination weights arise when the target variable and the predictors share a common factor structure driven by a hidden Markov process.     

STRATEGIC INVESTMENT DECISION-MAKING: COMPLEXITIES, POLITICS AND PROCESSES*

This article is a preliminary report on an investigation into the processes of investment decision-making. Three case studies from three firms are presented which show disparities in a number of aspects of process, for example, the length of time taken to arrive at a decision, the number and intensity of disagreements and uncertainties encountered. Data were collected for these cases through semi-structured interviewing from multiple informants in the three organizations, thereby permitting the use of analysis of variance techniques of the different perspectives given by informants. Perceptions of the effectiveness of the decisions were also gathered. One finding from the study is that the decisions with the lowest perceived effectiveness (in firm HE) also lost support from those involved in making the decision during the process, although the decision was eventually implemented. This decision also had the least agreement amongst informants as to the main sources of disagreements. Informants of all three decisions saw effect upon product quality and productivity, fit with business strategy and competitive position of the company as the most important factors to take into account in evaluating the decisions. In firm CG, however, there were disagreements as to how the investment should be evaluated. In the conclusions to the article a disucssion is given as to the nature of evaluation procedures in relation to the developing theory of information systems.     

Informational Networks, Entrepreneurial Action and Performance

This paper develops a model that incorporates personal and business networks, firm action, and performance based on the existing literature. It explores the links between information and entrepreneurial-type action, and action and performance. Survey data was collected from a sample of 100 manufacturing firms in Thailand. Results show that entrepreneurs value the information they receive from their networks. However, there is little statistical support for tangible links between personal or business networks and entrepreneurial action and performance, or between action and performance.     

Applying Burke’s Dramatic Pentad to scenarios

Describing the evolution of possible futures in the narrative form is widely practised. However, while stories are intuitively recognized, the ability to compose a comprehensible story is often difficult. Ambiguities or inconsistencies within a scenario-as-story are not simply aesthetic faults, but are failings which can weaken the use of the technique in a learning or decision-making process. This paper provides a working understanding of narrative as a particular kind of knowledge and proposes an adaptation of Kenneth Burke’s Dramatic Pentad as a way to explicitly capture this kind of knowledge within a scenario construction process.     

Power Relations and Social Mix in Metropolitan Neighbourhoods in North America and Europe: Moving Beyond Gentrification?

Research on spatial segregation has suggested that social mix may be a temporary phase in class displacement, where relations between different groups are at best divided or ‘tectonic’, for instance in England. Political and policy discourses, by contrast, tend to uncritically valorize social mix as a means to breaking up concentrations of poverty and providing neighbourhoods with a middle‐class voice. In the literature, little attention has been paid to power dynamics in socially mixed neighbourhoods and the implications this may have for understanding theory and policy. The five articles that make up this symposium address the ways in which social and ethnic groups interact in major cities in Europe and North America and, as the title suggests, this involves taking into account power relations, domination and negotiation between the different groups. There is a need to connect the experience of the deployment of power within neighbourhoods (and between them) with the discussions of power mechanisms at work in wider urban processes.     

Beyond choice: investigating the sensitivity and validity of measures of strength of preference

Many experiments investigating different decision theories have relied heavily on pairwise choices between lotteries. These are easy to incentivise, but often yield only limited dichotomous information. This paper considers whether respondents’ judgments about their strength of preference (SoP) for one alternative over another can usefully supplement standard choice data. We report extensive evidence that such judgments show sensitivity to variations in question format and parameter values in the directions we should expect, not only within-subject but also between-sample. We illustrate how such judgments can usefully supplement standard pairwise choice data and enrich our understanding of observed behaviour.