A tabu search heuristic for redesigning a multi-echelon supply chain network over a planning horizon

This paper addresses the problem of redesigning a supply chain network with multiple echelons and commodities. The problem belongs to a comprehensive class of network redesign problems previously introduced in the literature. Redesign decisions comprise the relocation of existing facilities to new sites under an available budget over a finite time horizon, the supply of commodities by upstream facilities, the inventory levels at storage facilities, and the flow of commodities through the network. The problem is modeled as a large-scale mixed-integer linear program. Feasible solutions are obtained by using a tabu search procedure that explores the space of the facility location variables. The latter prescribe the time periods in which changes in the network configuration occur. They are triggered by the setup of new facilities, which operate with capacity transferred from the existing facilities, and by closing the latter upon their entire relocation. As the problem is highly constrained, infeasible solutions with excess budget are allowed during the course of the search process. However, such solutions are penalized for their infeasibility. Computational experiments on realistically sized randomly generated instances indicate that this strategic oscillation scheme used in conjunction with tabu search performs very well.     

Probability Distribution of the Project Payback Period Using the Equivalent Cash Flow Decomposition

For stochastic cash flows, probabilistic approaches to determine a complete distribution of payback period are very limited. The payback analysis based on the net present value (NPV) has several advantages. For annual cash flows, however, the NPV-based method does not provide a complete payback distribution. This article proposes a new technique, the equivalent cash flow decomposition (ECFD), which converts an annual cash flow into an equivalent subannual cash flow at a desired level of precision. The ECFD technique can be used in conjunction with any probabilistic cash flow technique. This article demonstrates that the ECFD technique overcomes the discontinuity limitation of the conventional NPV-based payback period method and generates a complete distribution of the payback period of annual cash flows. Examples indicate that the proposed method is robust with the accuracy comparable to Monte Carlo simulation.     

On the importance of matching strategic behavior and target market selection to business strategy in high-tech markets

Business strategy is fundamentally concerned with the actions required to create superior customer value in the firm’s target markets with the ultimate goal of achieving superior performance. Marketing theory suggests that two critical marketing activities required to achieve this end are: (1) the adoption of appropriate strategic behaviors (i.e., customer-oriented, competitor-oriented, technology-oriented) and (2) targeting of the appropriate market segments (i.e., innovators, early adopters, early majority, late majority, laggards). This study builds on prior research which demonstrates that the strategic behavior—firm performance relationship is contingent on the firm’s strategy by examining this relationship in high tech markets and by considering the incremental contribution of appropriate target market selection. Responses from 160 senior marketing managers in high-tech firms reveal strong support for our framework. Thus, this study provides useful guidance to executives and managers in high-tech firms regarding the steps that they should take to increase their probability of success.

Entrepreneurial Hustle: Navigating Uncertainty and Enrolling Venture Stakeholders through Urgent and Unorthodox Action

Entrepreneurs need to act under conditions of uncertainty and resource constraints to bring new, often-unrecognizable products to market and convince an unknown set of stakeholders to support their endeavours. The type of action entrepreneurs take to navigate uncertain entrepreneurial contexts is underspecified. We analysed 48 interviews with entrepreneurs to inductively identify an action-oriented construct we labelled as entrepreneurial hustle – an entrepreneur’s urgent, unorthodox actions that are intended to be useful in addressing immediate challenges and opportunities under conditions of uncertainty. In a follow-up study, we use an experimental vignette approach to assess the impact of an entrepreneur’s hustle on venture stakeholders. Findings suggest that entrepreneurial hustle positively influences stakeholder perceptions of the entrepreneur’s leadership effectiveness and a venture’s legitimacy, mediated by perceptions of the entrepreneur’s ability-based trustworthiness. We conclude that entrepreneurial hustle is a fundamental behaviour that enables entrepreneurs to enrol new venture stakeholders and lead their entrepreneurial efforts.     

Indirect taxation with shadow cost of public funds in mixed oligopoly

We adopt a mixed oligopoly model, where a state-owned welfare-maximizing public firm competes with a profit-maximizing private firm, to compare the welfare effects of the specific and ad valorem tax in the presence of the shadow cost of public funds. Following the assumption of most previous literature that total output is constant under specific and ad valorem taxation, we find that, when the shadow cost of public funds exists, the tax policy must be adjusted according to the privatization level of the public firm; if the privatization level is low (medium, high), the government needs to adopt ad valorem (specific, ad valorem) tax. Moreover, the private firm will earn a higher (lower) profit under ad valorem tax than under specific tax, if the public firm is not fully privatized and the shadow cost of public funds is high (low).     

Order-invariant tests for proper calibration of multivariate density forecasts

Established tests for proper calibration of multivariate density forecasts based on Rosenblatt probability integral transforms can be manipulated by changing the order of variables in the forecasting model. We derive order-invariant tests. The new tests are applicable to densities of arbitrary dimensions and can deal with parameter estimation uncertainty and dynamic misspecification. Monte Carlo simulations show that they often have superior power relative to established approaches. We use the tests to evaluate generalized autoregressive conditional heteroskedasticity-based multivariate density forecasts for a vector of stock market returns and macroeconomic forecasts from a Bayesian vector autoregression with time-varying parameters.     

Complementors as connectors: managing open innovation around digital product platforms

In the digital age, open innovation is increasingly organized around platform ecosystems. This paper investigates how firms can coordinate open innovation as a platform strategy for the development of complementary products by independent third parties. We draw on a qualitative case study of Philips Hue – a connected lighting platform for consumers with its variety of complementary products. We identify three increasingly complex ways in which independent complements connect to a focal platform. Our findings show that managing these connections requires a hybrid open innovation approach that combines arm’s length coordination, with a large number of complementors through open interfaces, and intensive bilateral collaboration, with a selected number of partners. Our findings demonstrate that complex interconnections across digital platforms and products lead to the management challenge of navigating an ‘ecology of platforms’, which warrants future research.