Firm's resilience to supply chain disruptions: Scale development and empirical examination

This paper expands our understanding of factors that contribute to development of firm resilience to supply chain disruptions. In doing so, we operationalize firm resilience to understand how supply chain disruption orientated firms can develop resilience to supply chain disruptions. We find that supply chain disruption orientation alone is not enough for a firm to develop resilience. Supply chain disruption oriented firms require the ability to reconfigure resources or have a risk management resource infrastructure to develop resilience. The way in which supply chain disruption oriented firms develop resilience through resource reconfiguration or risk management infrastructure depends on the context of the disruption as high impact or low impact. In a high impact disruption context, resource reconfiguration fully mediates the relationship between supply chain disruption orientation and firm resilience. In a low impact disruption context, supply chain disruption orientation and risk management infrastructure have a synergistic effect on developing firm resilience.     

Value of supply disruption information and information accuracy

In this paper, we examine the factors that influence the value of supply disruption information, investigate how information accuracy influences this value, and provide managerial suggestions to practitioners. The study is motivated by the fact that although accurate disruption information creates benefits, fully accurate disruption information may be difficult and costly to obtain. Furthermore, inaccurate disruption information can decrease the financial benefit of prior knowledge and even lead to negative performance. To perform the analysis, we adopt a newsvendor model within a single product setting where the focal firm can source from a supply network and has a given resilience capacity. The results show that information accuracy, specifically information bias and information variance, plays an important role in determining the value of disruption information. This influence varies at different levels of disruption severity and resilience capacity, and our results imply that higher amounts of resilience capacity actually may be detrimental to a firm without accurate information about a disruption's influence. Thus, for companies with a high resilience capacity, obtaining quality information is critical for effectively coping with disruptions.     

THE DYNAMICS OF REGIONAL POPULATION AND EMPLOYMENT GROWTH

The authors investigate what Muth labels as the "chicken and egg" or what others label it as "jobs follow people" versus "people follow jobs" debate by studying the dynamic relationships of changes in population and employment in the snowbelt, the sunbelt, and the nine census regions of the United States. The vector autoregressive (VAR) modeling method is used for the annual time series data (1955–1988) on population and employment. The Granger causality tests show that, in the snowbelt region, population tends to precede employment, while in the sunbelt region, the opposite is true. The impulse response functions generated for the forecasting decade suggest that "jobs follow people" in the snowbelt and "people follow jobs" in the sunbelt. Similar findings in general hold for the census regions belonging to the snowbelt and sunbelt. These findings raise doubts about the proposition of others that the growth process is either demand or supply-driven in all phases of regional growth.     

Wider economic impacts of heavy flooding in Germany: a non-linear programming approach

Wider economic impacts of heavy flooding in Germany: a non-linear programming approach. Spatial Economic Analysis. This paper further develops a new methodology to estimate the wider, indirect impacts of major disasters, and applies it to the 2013 heavy flooding of southern and eastern Germany. We model the attempts of economic actors to continue their usual activities, as closely as possible, by minimizing the information gain between the pre- and post-disaster pattern of economic transactions of the economy at hand. Findings show that government support of local final demand substantially reduces the indirect losses of the floods, while having a disaster at the top of the business cycle increases them. Moreover, we find that assuming fixed trade origin shares and fixed industry market shares, as in all multiregional input–output models, leads to implausibly large estimates of the indirect losses.     

A SHOCK ABSORPTION INDEX FOR INOPERABILITY INPUT–OUTPUT MODELS

Recent disasters have underscored the importance of enhancing resilience in economic systems. In this work, we propose a novel shock absorption index, which provides a measure of the ability of an economic system to tolerate disruptions. It is assumed that there are externally defined initial levels of system failure or disruption, as well as maximum allowable levels of inoperability for each sector. The shock absorption index is defined as the largest fraction of the anticipated initial disruption that can be absorbed by the predefined robustness limits. It provides an overall measure of the robustness of an economic system towards a disruptive event, which is driven by both the economic structure and the individual robustness of different sectors. The results of two case studies illustrate policy-making insights in identifying and prioritizing risk management strategies for critical systems.     

GRADING JOURNALS IN ECONOMICS: THE ABCS OF THE ABDC

Many institutions and governments grade academic journals for the evaluation of research. In this paper, we implement a multi-bibliometric methodology for the evaluation of such a list of journal grades. We examine the grades assigned by the Australian Business Deans Council (ABDC) for over 750 journals in the fields of economics and statistics. Firstly, we generate up to 48 bibliometric-based grades for each journal based on the grade distribution implied by the ABDC. Secondly, we categorize the bibliometrics employing a cluster analysis of an interrater agreement statistic. Thirdly, we present a visualization of the consistency of the grading by journal. Finally, we list those journals where the majority of the matched bibliometrics indicate a higher or lower grade than their ABDC grade.     

The role of HR practices in developing employee resilience: a case study from the Pakistani telecommunications sector

Abstract

There has been increasing interest in understanding the factors that contribute to the development of employee resilience. Despite such interest, there is a dearth of research examining the contributory role played by HR practices in enhancing employee resilience. Looking at the context of Pakistan’s telecommunications sector and deploying a qualitative methodology, this paper examines the impact of HR practices on employee resilience. The findings indicate that four key areas of HR practices – job design, information sharing and flow within an organisation, employee benefits (monetary as well as non-monetary), and employee development opportunities – enable the development of employee resilience. Consequently, the effective implementation of HR practices in these areas has been the key factor for the development of employee resilience.     

Measuring Regional Economic Resilience across Europe: Operationalizing a complex concept

This paper describes an approach developed to measure regional economic resilience across Europe which is novel in three key dimensions. Firstly, it seeks to date regional downturns as opposed to assuming that all regional economies are affected by economic shocks at the same point in time; secondly, it measures the amplitude and duration of economic downturns and subsequent recoveries; and thirdly, as well as measuring recovery, it measures the resistance of regional economies to economic shocks. The paper applies this methodology to selected European countries to provide an analysis of differential regional responses to several economic shocks since the early 1990s. The paper then reflects upon the utility of this methodology for operationalizing regional economic resilience in cross-comparative studies.     

Getting back into the swing of things: The adaptive path of purchasing and supply management in enhancing supply chain resilience

The COVID-19 crisis posed significant challenges to global supply chains (SCs) and exposed their vulnerability to disruption. As SCs have evolved into complex structures comprising a multitude of globally dispersed companies that collaborate closely with one another, purchasing and supply management (PSM) have played a key role in addressing the crisis. The existing PSM measures for increasing supply chain resilience (SCRES) were stress tested and it became evident that these methods are applicable only to a limited extent due to their static perspective and their lack of a network character. Thus, this paper examines the role of PSM by identifying implemented response measures. By conducting 40 semi-structured interviews with experts from original equipment manufacturers and first-tier suppliers in the German automotive industry, a comprehensive overview of the industry was obtained. To reflect the network nature of the industry and the adaptive path of PSM, the data analysis is framed by resource dependence theory and the adaptive cycle approach. The results of the study are 25 response measures of PSM to enhance SCRES, categorized into three waves of measures: initial measures upon the occurrence of the disruption, temporary measures during the disruption, and post-disruption measures. In this way, the study contributes to the existing literature by demonstrating that PSM takes on a major role in increasing resilience by implementing diverse response measures. In addition, the study shows that PSM follows the path of an adaptive cycle, and that after the disruption and the initial and temporary measures, PSM adapts, which is reflected in the post-disruption measures. For practitioners, the study provides a list of response measures to increase resilience that can be used to review existing measures or implement new ones.     

THE ROLE OF SUPPLY CONSTRAINTS IN MULTIPLIER ANALYSIS

Multiplier analysis based upon the information contained in Leontief's inverse is undoubtedly part of the core of the input–output methodology and numerous applications and extensions have been developed that exploit its informational content, both at the national and regional levels. Nonetheless there are some implicit theoretical assumptions whose policy implications need to be assessed. This is the case for the ‘excess capacity’ assumption, which implies that resources are available as needed to adjust production to new equilibrium states. In an actual economy, however, new resources are often scarce and always costly. When supply constraints intervene, the assessment of the effects of government demand policies may be substantially different from that of the standard Leontief multiplier matrix. Using a closed general equilibrium model that incorporates supply constraints, we perform some simple numerical exercises and proceed to derive two ‘constrained’ multiplier matrices, based upon the implicit Jacobian matrix, that can be compared with the standard ‘unconstrained’ Leontief matrix.     

RISE OF THE FIDUCIARY STATE: A SURVEY OF SOVEREIGN WEALTH FUND RESEARCH

We survey the literature documenting the rise of sovereign wealth funds (SWFs), which, with assets under management of over $5.4 trillion at year‐end 2014, are a major force in global finance. Research papers have analyzed the evolution of SWFs from stabilization funds to stand‐alone wealth management funds; we both survey this research and show that more than 25 countries have launched or proposed new SWFs since January 2008. The most salient and controversial feature of SWFs is that they are state‐owned; we survey the existing literature on state ownership and discuss what this predicts about the efficiency and beneficence of government control of SWF assets. We discuss the documented importance of SWF funding sources (oil sales revenues versus excess reserves from export earnings) and survey the normative literature describing how SWFs should allocate funds. We then summarize the empirical literature studying how SWFs actually do allocate funds—across asset classes, geographically, and across industries. We document that most SWF equity investments in publicly traded firms involve cross‐border purchases of sizeable minority stakes (median around 20%) in target firms, with a strong preference for investments in the financial sector. Next, we assess empirical studies examining the impact of SWF stock investments on target firm financial and operating performance, and find universal support for a positive announcement period stock price increase of 1–3%. This, however, is significantly lower than the 5% abnormal return documented for stock purchases by comparable privately owned financial investors in recent studies, indicating a “sovereign wealth fund discount.” We conclude by summarizing the lessons of SWF research and pointing out unresolved issues.     

LABOUR PRODUCTIVITY CHANGES AND WORKING TIME: THE CASE OF GREECE

In terms of the annual hours worked per employee, Greece ranks first among EU-15 countries and second among OECD countries. In this context, the austerity measures it adopted (as suggested by the EU and IMF) imply, among other things, a reduction in the over-hours. If such reductions were not to be accompanied by increases in labour productivity, output would be reduced considerably. This paper therefore addresses the question: “What change in sectoral labour productivity levels would have been required to deliver the actual change in final demands in Greece between 1995 and 2005, if working hours in each sector had been reduced to their EU averages?” In this framework, we develop a methodology for calculating labour productivity change by sector of economic activity in an input–output context. Next, we apply it to the Greek economy for the time period 1995–2005, the most recent period for which the required data are available. We find that the required productivity changes are the most substantial for the hotels and restaurants sector, followed by machinery manufacturing and the trade sectors.     

Incorporating ancillary measures of process and quality change into a superlative productivity index

One of the persistent problems plaguing the measurement of productivity and output is accounting for changes in product quality. A similar problem arises in attempting to explain shifts in a production function using information on changes in the characteristics of the production process itself. We consider these problems under a behavioral model in which the firm chooses a profit-maximizing bundle of input/output/process characteristics as well as the profit maximizing levels of input and output. This view of quality change is similar to the endogenous design index advocated by Triplett [1983] for industrial prices and the endogenous quality indexes analyzed by Pollak [1983] for consumer prices. We show how a price-characteristics locus can be used to adjust the Tornqvist output- and input-oriented multifactor productivity indexes of Caves, Christensen and Diewert [1982] for changes in input, output and process characteristics. To show the applicability of the methodology to services, we apply the results in the framework of the commercial banking measurement of Fixler [1988] to measure the impact of bank branching on multifactor productivity.The refereeing process of this paper was handled through R. Färe.     

Inclusive purchasing and supply chain resilience capabilities: Lessons for social sustainability

In the face of unexpected changes in their dynamic business environment, purchasing and supply chain (SC) managers have been challenged to boost SC resilience while maintaining their sustainability concerns. In this changing environment, this paper aims to explore: (1) how (social) sustainability affects SC resilience and (2) what the role of purchasing is for SC resilience. Through a dynamic capability view as the theoretical lens, we investigate whether and how an inclusive purchasing programme could enhance SC resilience capabilities to cope with the Covid-19 outbreak. We developed a Case study with various SC members of a multinational cosmetics company that, despite suffering from a sudden demand disruption during the outbreak, maintained its sustainability actions. The results show that four operational SC resilience capabilities were amplified: ‘visibility’, ‘adaptability’, ‘collaboration’ and ‘financial strength’. In addition, a new capability entitled ‘empowerment’ was mobilised during this period. These factors helped the inclusive purchasing maintenance and were essential to supporting social sustainability. In addition, our results show that sustainable PSM, which is overlooked in the literature, is key for SC resilience. This article contributes to theory and practice because it demonstrates the role and relevance of (inclusive) purchasing in a company's ability to cope with SC disruptions, such as those resulting from the outbreak.     

Integrating sustainability and resilience in the supply chain: A systematic literature review and a research agenda

Sustainability has emerged as an important industrial strategic outlook expanding beyond organizational boundaries to include the supply chain. Simultaneously, the industry has also been faced with supply chain resilience concerns. Research on the intersection of supply chain sustainability and resilience is nascent and is a consequence of their observed mutual influences. However, confusion about concepts, implementation methods, and measurements of sustainable and resilient supply chains remains. This study completes a systematic literature review that critically examines several major observations and directions. We find the concept of sustainable supply chains is more established, and general agreement on its theoretical foundations exists. Supply chain resilience is relatively less mature. The nexus and relationships between the two topics are often incoherent: there is confusion on sustainable and resilient supply chains establishment; there is no clarity on what practices could jointly advance both areas. A major conflict exists since sustainability generally focuses on efficiency, while resilience seeks effectiveness. We recommend studies to analyze implementation relationships and impact. We also observe that performance measurement systems should be developed to assess supply chain sustainability and resilience performance taking with explicit consideration time horizons considered in these measures.     

Comparative stability analysis of demand-side and supply-side input-output models

This paper presents the results of a comparison of technical coefficient stability in demand-side and supply-side input-output models using a seven-sector aggregation of the 1947, 1958, 1963, 1967, 1972, and 1977 U.S. input-output tables. Sectoral and total output forecasts of the two models, generated with known final demand and value added figures from all subsequent tables, are compared to known output figures. Although the demand-side model performs somewhat better in terms of total output forecasts, the supply-side model provides better forecasts for a larger number of sectors. This analysis suggests that both models should be used in order to determine the extent to which an economy or a sector are demand- or supply-driven.     

MEASURING INTERSECTORAL KNOWLEDGE SPILLOVERS: AN APPLICATION OF SENSITIVITY ANALYSIS TO ITALY

R&D spillovers are unanimously considered as one of the main driving forces of technical change, innovation and economic growth. This paper aims at measuring interindustry R&D spillovers. We apply an ‘uncertainty-sensitivity analysis’ to the Italian input–output table of intermediate goods split into 31 economic sectors for the year 2000. The value added of using this methodology is the opportunity of distinguishing between spillover effects induced by productive linkages (the Leontief forward multipliers) and those activated by R&D investments, capturing the uncertain and non-linear nature of the relations between spillovers and factors affecting them.     

THE CHOICE OF MODEL IN THE CONSTRUCTION OF INDUSTRY COEFFICIENTS MATRICES

Kop Jansen and ten Raa's (1990) characterization of product-by-product input–output tables was adopted by the United Nations (1993). Recent OECD and several EU funded projects, however, used industry-by-industry tables, which raises comparable issues concerning their construction. We show how their two main construction models are instances of the transfer principle, with alternative assumptions on the variation of input–output coefficients across product markets. We augment the theory by formulating desirable properties for industry tables and investigate the so-called fixed product and fixed industry sales structure models, which are used by statistical institutes. The fixed industry sales structure model is shown to be superior from an axiomatic point of view.     

基于DEA分析法的港口物流效率测评研究

港口物流效率测评对于研究港口经营活动具有重要的意义,是衡量港口竞争能力以及经济效应的重要指标。文章将从宏观层面以及微观层面,并运用非参数化方法中的DEA方法对港口的物流效率进行测评。在宏观层面上运用DEA方法分析港口腹地产业与交通体系的投入量对港口吞吐量产生的影响;在微观层面采用DEA方法分析港口相关生产投入与产出指标来判定港口生产技术与规模的有效性。文章的研究价值在于,通过分析港口各种要素投入与产出的有效性可以测评出港口物流效率的实际水平状况,为港口未来的建设和发展提供决策依据,避免资源的重复建设和盲目投入。     

SYSTEMATIC LITERATURE REVIEW OF TOURISM GROWTH NEXUS: AN OVERVIEW OF THE LITERATURE AND A CONTENT ANALYSIS OF 100 MOST INFLUENTIAL PAPERS

This study performs the first citation-based systematic literature review of the tourism-growth nexus. The citation analysis provides a bird's eye view of this literature, which, in turn, identifies the sources of knowledge in terms of most influential journals, authors, and articles. A detailed content analysis of 100 most influential papers has been generated on the nature of the study, variables used, country of analysis, type of analysis, the methodology, and the direction of causality. In total, 284 papers were found relevant in the Scopus database using a comprehensive list of keywords. The citation analysis reveals that Tourism Management is the leading journal with a total of 2527 citation counts, whereas Tourism Economics is the leading journal with a total of 41 publications on this topic. Juan Gabriel Brida is the most prolific author, whereas Lee and Chang (2008) is recognized as the most influential paper. The content analysis reveals that 58% have applied time series, and 38% have used panel data analysis. Tourism causing growth is the leading result of both time-series and panel studies. International tourism receipts/earnings/expenditure and the number of international tourist arrivals are the most widely used variables to measure tourism.