Commitment to a Process Innovation: Nucor, USX, and Thin-Slab Casting

This paper studies the order of adoption of a process innovation, thin-slab casting, by U.S. steel makers. A game-theoretic model of technology adoption with capacity constraints indicates that incumbents are likely to trail entrants in adopting process technologies that reduce the minimal scale required to compete. Evidence from the case study also indicates, however, that the sorts of interactive effects emphasized by game-theoretic models may be dominated by the effects of competitors' heterogeneous precommitments.     

Managing the front-end phase of process innovation under conditions of high uncertainty

Using a fuzzy-set qualitative comparison analysis, we identify and examine key conditions for success in early front-end phases of process innovation projects. We focus on the very initial stage of the innovation process—the front-end phase—and a selection of conditions for managing highly uncertain process innovation projects. In high-uncertainty projects coupled with high levels of equivocality, formalizing roles and processes should be consistently avoided; however, idea screening is beneficial. Moreover, in successful innovation projects formalized processes but not formalized roles are beneficial. The findings suggest that formalizing roles and processes, a success factor in prior studies of innovation, does not result in success of process innovation projects.     

Cost-utility analyses of targeted immunomodulators in rheumatoid arthritis: systematic review

Abstract

Aims: Cost-utility (CU) modeling is a common technique used to determine whether new treatments represent good value for money. As with any modeling exercise, findings are a direct result of methodology choices, which may vary widely. Several targeted immuno-modulators have been launched in recent years to treat moderate-to-severe rheumatoid arthritis (RA) which have been evaluated using CU methods. Our objectives were to identify common and innovative modeling choices in moderate-to-severe RA and to highlight their implications for future models in RA.

Materials and methods: A systematic literature search was conducted to identify CU models in moderate-to-severe RA published from January 2013 to June 2019. Studies must have included an active comparator and used quality-adjusted life-years (QALYs) as the common measure of effectiveness. Modeling methods were characterized by stakeholder perspective, simulation type, mapping between parameters, and data sources.

Results: Thirty-one published modeling studies were reviewed spanning 13 countries and 9 drugs, with common methodological choices and innovations observed among them. Over the evaluated time period, we observed common methods and assumptions that are becoming more prominent in the RA CU modeling landscape, including patient-level simulations, two-stage models combining trial results and real-world evidence, real-world treatment durations, long-term health consequences, and Health Assessment Questionnaire (HAQ)-related hospitalization costs. Models that consider the societal perspective are increasingly being developed as well.

Limitations: This review did not consider studies that did not report QALYs as a utility measure, models published only as conference abstracts, or cost-consequence models that did not report an incremental CU ratio.

Conclusions: CU modeling for RA increasingly reflects real-world conditions and patient experiences which are anticipated to provide better information in the assessment of health technologies. Future CU models in RA should consider applying the observed advances in modeling choices to optimize their CU predictions and simulation of real-world outcomes.     

On certain type of Queues in series

Summary This paper studies the steady-state behaviour of a queueing system consisting of three servers S₁, S₂ and S₃ . Two types of units each requiring two phases of service arrive and form two queues Q₁ and Q₂ in-front of the two servers S₁ and S₂, respectively, which attend to their first phase of service in order of arrival. On completion of the first phase the units discharged from these servers from a single queue Q₃ in-front of S₃ for the phase 2 service. The various stochastic processes namely, the interrarrival times and the service times, have been assumed to be distributed exponentially. We derive for this queueing process an expression for the mean queue length and some particular cases thereof.     

The propensity of managers to create budgetary slack: A cross-national re-examination using random sampling

Following a review of the slack literature, Merchant (1985a) proposed that the propensity of subordinate managers to create slack is positively related to the importance placed on meeting budget targets, negatively related to the extent of participation allowed in budgeting processes, negatively related to the degree of predictability in the production processes, and negatively related to their superiors' abilities to detect slack. The results of his empirical tests provided little overall support for these hypotheses. The mixed nature of his results is of some concern since the literature provides considerable support for the theoretical framework underlying his propositions. He concluded that his use of non-random sampling may have influenced the results of his study. The objectives of this paper are first to extend Merchant's (1985a) study using the same measures but employing random sampling in a cross-national setting to enhance result generalizability. Second to assess whether the ability of superiors to detect slack interacts with budgetary participation to affect a subordinate manager's propensity to create slack. The results provide support for the cross-national generalizability of all five hypotheses.     

The effect of environmental complexity and environmental dynamism on lean practices

Increasingly manufacturers implement lean practices to improve operational performance. In addition, manufacturers operate in ever more complex and volatile environments. This research investigates the effects of environmental complexity and dynamism on lean operations and lean purchasing practices. It empirically examines these relationships using archival and survey data from 126 manufacturers. The results show that environmental complexity positively moderates the effects of lean operations and lean purchasing on performance. However, environmental dynamism reduces the benefits of lean operations on performance, but enhances the benefits of lean purchasing on performance. Robustness tests further confirm the contingent effects of complexity and dynamism on lean operations and lean purchasing. This research offers a more nuanced understanding of the effect of external environmental context on lean practices, and suggests that practitioners should carefully consider the external environment when implementing different types of lean practices.     

Normative rationality in venture capital financing

We examine whether venture capitalists (VCs) make investments based on normative rationality, which is derived from habitual and embedded norms and traditions indicative of a macroculture. Syndication and social and professional relations facilitate the development of shared decision-making frameworks. Using a four step methodology and a unique dataset of 139VC decisions and 82 independent VC assessments of those decisions, we find that the VC industry exhibits collective investment decision-making preferences, reflecting normative rationality. We offer implications for theory, practice, and future research.