Shocks derived from mining windfalls and horizontal transfers: Exploring the permanent income hypothesis in Chilean municipalities from a spatial competition approach

We explore how spatial interaction affects the strategic use of municipal income when deciding between 1) an optimal long-run expenditure strategy versus 2) using the current income to finance current activities, a phenomenon known as the permanent income hypothesis. Even when this hypothesis is grounded in temporal logic, insufficient attention has been given to the impact of spatial dependence on this type of budget decision. Therefore, we present two reasons why spatial interaction adds new insight to this discussion. First, subnational governments located inside larger functional areas have lower average costs due to the population concentration, allowing for coordination between jurisdictions to achieve more power of negotiation and to potentially exploit economies of scale. Second, local government decision-making is not independent of other jurisdictions as municipalities would constantly evaluate the others’ actions regarding local tax effort, spending, and debt. While this spatial consideration remains a challenge for theoretical modeling, we offer empirical evidence to evaluate how robust the permanent income hypothesis is when geography is incorporated. Our empirical approach uses dynamic panel data with spatial dependence on debt, expenditure, and the error term. To evaluate our hypothesis, we exploit panel data from 320 Chilean municipalities between 2008 and 2020 and use two sources of income: non-matched grants via mining windfalls and horizontal fiscal transfers among cities. The evidence indicates that jurisdictions make backward-looking decisions regarding spending; that is, there are no significant differences between the short and long run. The results for debt, however, are not robust. Policy pertaining to the use of public resources should consider the spatial dependence between municipalities which should be a crucial factor in budgetary decision-making.     

Assessment of the sustainable development of rural minority settlements based on multidimensional data and geographical detector method: A case study in Dehong,China

In a developing country, paying attention to the sustainable development of rural areas is conducive to the development of the entire country. Ethnic minority areas are an important part of China's economic and social development. Owing to a lack of relevant statistical data, most previous studies in this area have focused on the sustainable development of rural areas or the development of ethnic minorities, but have not studied the sustainable development of rural ethnic minorities. The development of rural ethnic minorities is worthy of attention. In this study, we took Dehong as the study area. First used toponyms to accurately identify the rural minority areas and then calculated a grid of settlement density. Second, we considered the digital number (DN) value of the visible infrared imaging radiometer suite (VIIRS) as a measure of the development of the region and digital elevation model (DEM), net primary productivity (NPP), normalized difference vegetation index (NDVI), and gross domestic product (GDP) data as the indicators of terrain, climate, ecological, and economic factors, respectively. Finally, linear regression and the geographical detector method were used to determine the weight of the factors for constructing a sustainable development index (SDI) to quantitatively analyze the sustainable development and influencing factors of each minority nationality. The factors evaluated using linear regression and the geographical detector method were ranked as follows: NDVI > elevation > GDP > slope > NPP > settlement density. The results demonstrate that of the five main ethnic minorities in Dehong, Dai and Jingpo have higher SDI, followed by Achang, Lisu and De'ang. In addition, we provide some suggestions for ethnic minorities in Dehong.     

Twitter’s daily happiness sentiment,economic policy uncertainty,and stock index fluctuations

This research applies quantile Granger causality and impulse-response analyses to evaluate the causal linkages among Twitter’s daily happiness sentiment, economic policy uncertainty (EPU), and S&P 500 indices across the U.S. stock market cycles. We present notable evidence of bi-directional causality among cyclical components of Twitter’s daily happiness sentiment, economic policy uncertainty, and S&P 500 indices for most quantiles. The causal linkage of Twitter’s daily happiness sentiment and S&P 500 indices identified in this study reconciles the so-called Easterlin Paradox and Easterlin Illusion arguments from previous studies on income-happiness relationship. Moreover, given a high (low) EPU level, the positive (negative) impulse-response effects between the Twitter’s daily happiness sentiment and the S&P 500 indices are justified during a stock market bust cycle, but the signs of these correlations change to negative (positive) during a stock market boom cycle. These findings imply that investors’ hedging strategies can be linked to the surveillance of the Twitter’s daily happiness sentiment index.     

Advancing purchasing as a design science: Publication guidelines to shift towards more relevant purchasing research

Due to rapidly changing business environments, purchasing and supply management (PSM) organisations are constantly confronted with new problems impacting organisational performance. PSM research can address these problems through design science research. Design science is also regarded as the science of the artificial. Design science research is a methodology that aims to systematically generate knowledge for the design, synthesis, testing, and evaluation of human-made artefacts (e.g., tools, interventions, policies) that solve practical problems. PSM artefacts such as the purchasing portfolio matrix invented by Kraljic (1983) represent a valuable opportunity to solve problems in the PSM discipline. However, our artificial-intelligence (AI)-based analysis of the discipline's flagship journal, the Journal of Purchasing and Supply Management (JPSM), indicates that design-oriented publications in PSM are underrepresented, accounting for less than 4% of the total publications. We argue that existing PSM research should be complemented with more design-oriented research, and address the following research question: How can PSM scholars publish more design-oriented research? Our objectives are to (1) provide arguments for advancing PSM as a design science, (2) nurture a better understanding of design science research as a methodology, and (3) propose publication guidelines that enable researchers to present design-oriented research in a management journal.     

Orchestrating distributed data governance in open social innovation

Open Social Innovation (OSI) involves the collaboration of multiple stakeholders to generate ideas, and develop and scale solutions to make progress on societal challenges. In an OSI project, stakeholders share data and information, utilize it to better understand a problem, and combine data with digital technologies to create digitally-enabled solutions. Consequently, data governance is essential for orchestrating an OSI project to facilitate the coordination of innovation. Because OSI brings multiple stakeholders together, and each stakeholder participates voluntarily, data governance in OSI has a distributed nature. In this essay we put forward a framework consisting of three dimensions allowing an inquiry into the effectiveness of such distributed data governance: (1) openness (i.e., freely sharing data and information), (2) accountability (i.e., willingness to be held responsible and provide justifications for one's conduct) and (3) power (i.e., resourceful actors' ability to impact other stakeholder's actions). We apply this framework to reflect on the OSI project #WirVsVirus (“We versus virus” in English), to illustrate the challenges in organizing effective distributed data governance, and derive implications for research and practice.     

Performance of microfinance institutions in Europe—Does social capital matter?

This paper investigates performance drivers of microfinance suppliers in Europe. As such suppliers, in contrast to advanced microfinance suppliers in developing economies, typically focus on uncollateralized microcredit services to individuals at the margins of society and of labor markets, we draw on the theory of social capital and empirically investigate the role that social capital may play in the overall performance of European microfinance suppliers. We build a unique, unbalanced panel data set of 302 microfinance service providers in Europe covering the years 2008–2015, and measure their performance in terms of credit risk, financial and social performance, and efficiency. Pursuing an econometric approach, we test a series of hypotheses using various measures of conditions conducive to building social capital on both the institutional and the country level, such as the client base of a microfinance supplier and the level of cultural fractionalization in a society. Our findings confirm that a higher intensity of social capital is positively associated with all areas of the performance of microfinance suppliers in Europe. Our conclusions could help in the design and launch of microfinance institutions in those European countries in which microfinance markets are developed not at all or only to a very limited extent. Our paper thus contributes to the nascent literature on microfinance in developed economies by applying and extending the theoretical framework and empirical models on social capital and microfinance that were originally elaborated for developing economies.     

A data-driven decision support system with smart packaging in grocery store supply chains during outbreaks

The unexpected emergence of the COVID-19 pandemic has changed how grocery shopping is done. The grocery retail stores need to ensure hygiene, quality, and safety concerns in-store shopping by providing “no-touch” smart packaging solutions for agri-food products. The benefit of smart packaging is to inform consumers about the freshness level of a packaged product without having direct contact. This paper proposes a data-driven decision support system that uses smart packaging as a smart product-service system to manage the sustainable grocery store supply chain during outbreaks to prevent food waste. The proposed model dynamically updates the price of a packaged perishable product depending on freshness level while reducing food waste and the number of rejected customers and maximising profit by increasing the inventory turnover rate of grocery stores. The model was tested on a hypothetical but realistic case study of a single product. The results of this study showed that stock capacities, freshness discount rate, freshness period, and quantity discounts significantly affect the performance of a grocery store supply chain during outbreaks.     

Research on the time-varying effects among green finance markets in China: A fresh evidence from multi-frequency scale perspective

Green finance is an essential instrument for achieving sustainable development. Objectively addressing correlations among different green finance markets is conducive to the risk management of investors and regulators. This paper presents evidence on the time-varying correlation effects and causality among the green bond market, green stock market, carbon market, and clean energy market in China at multi-frequency scales by combining the methods of Ensemble Empirical Mode Decomposition Method (EEMD), Dynamic Conditional Correlation (DCC) GARCH model, Time-Varying Parameter Vector Autoregression with Stochastic Volatility Model (TVP-VAR-SV), and Time-varying Causality Test. In general, the significant negative time-varying correlations among most green finance markets indicate a prominent benefit of risk hedging and portfolio diversification among green financial assets. In specific, for different time points and lag periods, the green finance market shock has obvious time-varying, positive and negative alternating effects in the short-term scales, while its time delay and persistence are more pronounced in the medium-term and long-term scales. Interestingly, a positive event shock will generate positive connectivity among most green finance markets, whereas a negative event including the China/U.S. trade friction and the COVID-19 pandemic may exacerbate the reverse linkage among green finance markets. Furthermore, the unidirectional causality of “green bond market - carbon market - green stock and clean energy markets” was established during 2018–2019.     

The effect of stabilization fund to rescue stock market based on expected return-capita circulation equation

This paper builds an expected return-capital circulation equation to explore the impact of using the stabilization fund to rescue the stock market when it crashes. We find that the stock stabilization fund buying the underlying stocks can restrain the sharp decline of the stock index, but it is also easy to promote the fluctuation in prices of small-cap stocks. Therefore, we suggest that the government in use of stock stabilization fund to take control of the stock market crash should not only buy underlying stocks in the index but also pay attention to prevent implicit stock disaster in the market.     

Green process innovation and operational performance: The role of proactive environment strategy,technological capabilities,and organizational learning

With increase in the focus on environmental protection, firms are integrating sustainability issues in process and product innovations. Firms can contribute toward sustainability and also improve operational performance through green innovation practices. However, the adoption of green innovation practices depends on the proactivity of top managers toward environment management. In this paper, we study the relationships between proactive environment strategy, green process innovation (GPRI), and operational performance. Further, we examine the mediating effect of dynamic capabilities (DCs) (technological capabilities and organizational learning) between GPRI and operational performance. The proposed framework is tested by data collected from the Indian manufacturing industries and using partial least squares (PLS) technique. The findings demonstrate proactive environment strategy as an important antecedent for GPRI practices. Second, technological capabilities and organizational learning mediate between GPRI and operational performance. The results of the study are useful for managers in the manufacturing firms, who are interested to implement GPRI practices or who are in the early stage of implementing the GPRI practices.     

销售人员学习的前因及其与销售绩效的关系研究

随着环境日益复杂多变,销售人员的学习对于个人的销售绩效的提升乃至组织的成功都起着至关重要的作用。销售人员学习包括学习努力与系统知识两个不同的维度。其前因变量包括个人层面的主动性、经验开放性和学习导向;任务层面的工作自主度和任务难度;组织层面的学习氛围和管理支持。销售人员学习对销售绩效的影响则是通过减少角色模糊、提升自我效能感和工作满意度来实现的。     

The effect of environmental regulations,top management commitment,and organizational learning on green product innovation: Evidence from automobile industry

This paper proposes and empirically examines a model to investigate the effect of environmental regulations, top management commitment (TMCO) and organizational learning toward green product innovation (GPI). The proposed theoretical model, grounded in dynamic capabilities view (DCV) and upper echelons theory, is analyzed by Partial least squares (PLS) method using the data from Indian automotive manufacturing firms. The findings indicate the importance of TMCO and organizational learning for implementing GPI (in response to regulations), and achieve desired performance. Further, organizational learning fully mediates between commitment of top management and GPI. The findings can be useful for managers in automotive manufacturing firms who are interested toward implementing GPI. The paper contributes to green innovation literature by empirically examining the role of TMCO and organizational learning for GPI.     

The Impact of Company Resources and Capabilities on Global New Product Program Performance

Product innovation and the trend to globalization are two important and interrelated dimensions driving business today. In this article, the results of five published research articles on the topic of global new product development (NPD) are summarized to provide an integrated overview of the factors that impact global NPD program performance. The overall conceptual framework is based on three types of literature—NPD, globalization, and organization. The main theoretical approach for establishing relationships between factors is the dynamic capability/resource‐based view. Accordingly, factors linked to outcome are seen as operating on different organizational levels, with more actionable initiatives or ‘capabilities’ largely mediating the softer and longer term background ‘resources’ of the firm. The analyses are based on a broad cross‐industry sample of 467 firms (North America, Europe, B2B, goods/services). Three global NPD‐related background resources (global innovation culture, resource commitment, and senior management involvement), labeled the ‘behavioral environment’ of the firm, are identified and shown to be linked to global NPD program performance via the mediated effect of four specific NPD capabilities (NPD process, strategy, team, and IT/communication). A qualitative synthesis of the findings is provided, along with recommended management initiatives with which firms can enhance their performance in the global NPD effort. Both sets of factors are found to be essential and highly interrelated, but it is the strength of the behavioral environment resources that distinguish the best performing firms, setting the stage for success in global NPD.     

Does Green Public Procurement lead to Life Cycle Costing (LCC) adoption?

Life Cycle Costing (LCC) is rarely used in public procurement and public institutions have yet to fully understand its potential value for sustainable procurement. The new European Directive on Public Procurement is, however, designed to position LCC as central to sustainable sourcing. Although previous studies have identified positive correlations between Green Public Procurement Policies (GPP) and LCC, it is still unclear how public institutions can further adopt LCC practices by leveraging their experience of green sourcing. In this study an organizational learning theoretical perspective is taken to investigate the circumstances under which public administrations’ experience of GPP – considered as a way of integrating the dimension of environmental sustainability into the sourcing process – stimulates their LCC learning and capabilities – considered as a way to include the sustainability economic dimension. The goal is to understand if the adoption of GPP can stimulate the internalisation of LCC in public tenders. A multinomial logistic regression was conducted using a sample of 120 public administrations located in different countries. The results show that experience of GPP stimulates the internalisation of LCC at a public level, but only under specific conditions. The study contributes to the Sustainable Supply Management literature, being one of the first studies in the field adopting an organizational learning theoretical lens to review the role of experience as significant opportunity to develop capabilities. It also contributes to the organizational learning theory, by confirming that experience can aid learning but only in specific environmental contexts.     

Managing change,leadership style,and intolerance to ambiguity: A survey of organization development practitioners

In today's business environment, human resource development (HRD) and organization development (OD) practitioners need to be experts at helping executives and managers deal with organizational change. This article presents survey research findings, based on responses from 357 HRD/OD practitioners, related to this critical area of expertise. The authors first describe the results of their research, and then conclude with implications of these results for HR and related professionals. Overall, HRD/OD practitioners were found to be quite knowledgeable about managing organizational change, and were more likely to describe their work style as transformational rather than transactional. © 1993 by John Wiley & Sons, Inc.     

Firms’ Response to Climate Change: The Interplay of Business Uncertainty and Organizational Capabilities

With climate change emerging as one of the most important issues increasing uncertainty in the business circle, firms have shown different reactions. Why do firms differ in adopting and implementing carbon management practices (CMPs) in response to the global warming issue? This paper attempts to explore this question with particular attention to two factors: external business uncertainty and internal organizational capabilities. This study investigated whether business uncertainty, organizational learning and lean production capabilities influenced the adoption and implementation of CMPs as well as examining how organizational capabilities moderate the relationships between business uncertainty and the level of CMPs. The results of a cross‐sectional survey and hierarchical regression analyses indicate that perceived business uncertainty decreases the adoption of CMPs, organizational learning and lean production capabilities strongly facilitate the adoption and implementation of CMPs, and lean production capability positively moderates the impacts of business uncertainty on the adoption of CMPs. This study provides guidance for managers and academics considering how to identify, design and manage the dimensions of a firm's practices in response to the global warming issue within the organization as well as with other organizations. Copyright © 2015 John Wiley & Sons, Ltd and ERP Environment     

基于IMC理论的动态营销能力构建

复杂的动态竞争环境对企业的营销实践提出了更高要求。基于整合营销传播理论的动态营销能力构建,是以创新能力、反应能力及关系能力为核心能力特征的动态资源,是持续获取企业良好营销绩效的重要来源。增强组织对环境变化的敏感性与适应性,可以提升企业的反应能力,剖析利益相关者需求并关注其变动可以实现与之的良好关系,个人与组织的知识管理,有利于提升企业的创新能力。三种能力互相作用,形成动态营销能力不断提升的推动系统。     

企业动态能力的演变研究——基于特变电工持续成长的案例

企业成长是形成动态能力以适应环境变化的过程,在企业成长的不同阶段,决定企业成长的动态能力会呈现出演变的特征.本文在回顾企业成长阶段理论和动态能力理论相关研究的基础上,提出了企业动态能力的七个构成要素:技术能力、辨识和把握机会能力、组织能力、资源整合能力、学习与创新能力、战略能力、变革能力,并提出了动态能力随着企业成长阶段演变的模型,最后,以特变电工为典型案例,分析了企业成长阶段与动态能力演变的关系.     

民营企业跨国并购战略的制度创业过程研究

本研究采用案例研究方法,通过对中国林德集团收购德国帕西姆机场过程的分析,探索了新兴市场企业在成熟市场跨国并购过程中通过制度创业实现资源整合从而创造竞争优势的过程。本研究从制度视角探索了跨国并购的制度创业动因、机制和资源整合路径。突破了以往基于成熟市场的交易成本理论和组织学习理论通过股东收益和组织学习能力获取的传统跨国并购理论认识范式。研究发现,制度环境会影响组织通过制度创业建构合法性从而获得竞争优势资源;企业决策者的创业意愿和能力会影响企业制度创业成果;决策者意愿和能力与制度环境的互动机制影响制度创业效率;企业场域位势的嵌入程度较低以及处于业务和制度边界交界地带的企业,会实施制度创业改变企业的场域位势;企业通过制度创业跨越制度障碍形成的合法性成为企业新的竞争优势资源。     

The labour relations heritage and lean manufacturing at Fiat

The objective of the paper is interpreting, from an evolutionary perspective, recent developments of work organization and human resource management policies at Fiat Auto, one of the world's largest automobile manufacturers, which achieved a successful restructuring in the early 1990s. Building on a heritage of adversarial labour relations and ‘mass production’ organizational principles, Fiat developed an original and to some extent hybrid version of ‘lean’ human resource management practices (teamwork, flexible compensation, multi-skilling, etc.).

The paper analyses this process of organizational change from an evolutionary perspective based on the concept of dynamic capabilities. From this standpoint, IR. HRM and work organization practices are the result of a learning process, based on original development, imitation, analogical replication, combination and selection of organizational capabilities; organizational capabilities have a cumulative and path-dependent nature; workplace innovations are also rooted in organizational absorptive capacities, that is, the ability of firms to exploit new (and often extramural) organizational and HRM developments; the existence of complementarities among organizational competencies, assets and choices in term of HRM are likely to push toward the adoption of a set or system of (rather than single and insulated) innovations in work organization, HRM practices and industrial relations policies.

The data provided in the paper show that the process of innovation of workplace practices at Fiat Auto (summarized by the concept of the Fabbrica Integrata) is curiously non-linear. The newly designed HRM policies have, on the one hand, been resisted by the unions (who have not been involved in the design process) and by segments of the work-force; on the other hand, they have been hindered by existing organizational features and personnel practices which, in turn, were key success factors during the 1980s. This inertia is significantly lower at the new greenfield plant of Melfi. On the whole, the restructuring process was successful from the competitive and financial standpoint, and represents the basis on which management and the unions can develop a new co-operative model of industrial relations.