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Mobilizing suppliers when starting up a new business venture
No full textInternational audiencePrior research has shown that new ventures can complement their capabilities and extend their limited internal resources by drawing on suppliers. Yet, our knowledge of the supplier mobilization process in new ventures is limited. In this paper, we take a relational perspective on the mobilizing process, which entails investigating the scope for mobilizing suppliers in new ventures and new ventures' attractiveness to suppliers. Drawing on three new venture cases, we posit that for new ventures the scope for mobilizing suppliers: 1) ranges from the use of suppliers for the procurement of well-defined existing inputs to the co-development of various resources and capabilities with suppliers; 2) varies across ventures, reflecting the new venture's distance to market; and 3) depends on the supplier's assessment of the new venture's attractiveness as a customer. We also argue that the attractiveness of new ventures as customers to the suppliers is based on elements that differ from those found in studies of ongoing businesses, and include: 1) stimuli to innovate and develop new competencies, 2) reputational benefits and prestige, and 3) personal satisfaction
Designing Bioenergy Supply Chains Under Social Constraints
No full textPart 6: Meta-Heuristics and Optimization Techniques for Energy-Oriented Manufacturing SystemsInternational audienceThe use of renewable energy, as a clean alternative to fossil fuel, has become very attractive. It has environmental advantages and leads to regional development. This study proposes an optimization model for the design of bioenergy supply chains under social concerns. The social concerns involve the unemployment rate and the vulnerability to changes during an economic crisis.The areas that are mostly exposed to these social issues are chosen as initial potential locations for installing the biorefineries. Installing a biorefinery can generate jobs for the people of these areas. This leads to the sustainable development in the areas. The applicability of the developed model is shown through a case study. The results demonstrate that the proposed approach leads to the generation of a large number of job positions which has an important impact on the social development of these regions
COVID-19 containment measures and stock market returns: An international spatial econometrics investigation
No full textInternational audienceWe investigate the impact of governments’ social distancing measures against the novel coronavirus disease 2019 (COVID-19) as this was reflected on 45 major stock market indices. We find evidence of negative direct and indirect (spillover) effects for the initial period of containment measures (lockdown)
Corporate environmentalism and brand value: A natural resource-based perspective
No full textInternational audienceGiven ever-increasing engagement of firms in corporate environmentalism over the past few decades, a multitude of studies investigated the antecedents and consequences of corporate environmentalism. Extant studies exploring the consequences of corporate environmentalism predominantly measured its effects on firm performance. However, to the best of our knowledge, no study thus far has explored whether or not the key pro-environmental initiatives pertaining to corporate environmentalism carried out by industrial firms have any effect on market-based assets, namely, brand value. This study endeavored to address this gap in the literature. Drawing on natural resource-based view of the firm (NRBV), this study argued that industrial firms committed to corporate environmentalism reap rewards in the form of higher brand value. This study investigated three salient areas of corporate environmentalism, namely, environmental innovation, efficiency in using natural resources and emission reduction. The findings of this research demonstrate that industrial firms that outperform in environmental innovation, use fewer natural resources, and reduce emission have a higher brand value. Interestingly, while environmental innovation and efficiency in using natural resources contribute fairly equally to brand value, ability to reduce emissions contributes the least to brand value creation
Why do organizations leverage social media to create business value? An external factor-centric empirical investigation
No full textInternational audienceWhy do organizations develop and execute social media initiatives to create business value? This study addresses this prominent and critical research question for IS research on the business value of social media. Drawing on the institutional theory, we argue that mimetic, coercive, and normative pressure persuade organizations to use social media to improve marketing performance. We test our core proposition and theory-driven research model using data collected from a sample of leading Chinese agribusinesses. We find that coercive and mimetic pressure play pivotal roles in motivating organizations to use social media. We also discover that social media usage improves marketing performance and that the agribusiness market uncertainty plays a positive reinforcing role in the positive effect of social media usage on marketing performance. Thus, this paper contributes to IS research with an eloquent theoretical explanation and strong empirical evidence on why organizations deploy social media initiatives to improve their marketing activities and performance and the higher business value of social media under greater agribusiness market uncertainty
Knowledge management practices by middle managers to attain organizational ambidexterity
No full textInternational audienc
A maximum-flow network interdiction problem in an uncertain environment under information asymmetry condition: Application to smuggling goods
No full textInternational audienceWe study the interdiction of smuggling network that arranging the activities of the police in order to successfully interdict criminals in smuggling goods. This work contributes to the literature of maximum flow network interdiction problems by addressing asymmetric information, uncertain conditions, multi commodity, and with multiple sources (origins) and sinks (destinations). Information Asymmetry realistically occurs due to incomplete information of interdictor (police) and operator (smuggler) about each other's performance, which is adapted from the real-world condition. We propose two mixed-integer programming models by reformulating a Min–Max bi-level mathematical model. In the first model, the type of interdiction is discrete (zero and one), while in the second model, the interdiction is assumed continuous, meaning that the partial interdiction is possible. The asymmetry type of the smuggler's information towards the police have formulated through a linear function while the asymmetry of the police information to the smuggler is formulated using an uncertain parameter through a two-stage stochastic programming framework. To solve the first model, an innovative exact hybrid method is proposed combining of a Decomposition Method and Progressive Hedging Algorithm (DM-PHA). An augmented Karush-Kuhn-Tucker (KKT) method is also used to solve the second model. Several sensitivity analyses are then conducted, and the results demonstrate the applicability and effectiveness of the proposed models as well as the solving approach. It is also shown that the proposed models can be used as a suitable approach in uncertain environment and under asymmetric information to determine the optimal interdiction decisions of police to prevent further smuggling
What effect did the introduction of Bitcoin futures have on the Bitcoin spot market?
No full textInternational audienceBitcoin futures were introduced in December 2017 and this was seen by some as a sign of the most popular cryptocurrency finally being accepted by the financial community. In this paper, we examine the impact of the introduction of Bitcoin futures on the Bitcoin spot market in terms of five characteristics – returns, volatility, skewness, kurtosis and liquidity, using a Bayesian diffusion-regression (state-space) structural time-series model. Our results indicate that the introduction of bitcoin futures potentially exerted a downward impact on the USD bitcoin spot market return and skewness and an upward one on volatility, kurtosis and liquidity, which became higher after futures were introduced. Therefore, our paper offers important insights for investors and regulators, while providing some guidance as to the potential impact of futures markets on other cryptocurrencies
Future‐proofing IJMR as a leading management journal: Reach, relevance and reputation
No full textInternational audienc
Carbon disclosure, carbon performance and financial performance: International evidence
No full textInternational audienceThis study examines how carbon performance affects carbon disclosure and how carbon disclosure affects financial performance. With a sample of global firms, the study analyses how relationships between carbon disclosure, carbon performance and financial performance vary in institutional contexts. Our results show that carbon disclosure positively affects carbon performance, consistent with the signalling theory. We find that carbon disclosure negatively (positively) affects financial performance in the short-term (long-term). Our findings have significant implications for investors as some firms use carbon disclosure as part of impression management. Our results help regulators to monitor carbon disclosure and assist investors with investment decisions