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on Economics of Strategic Management |
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Issue of 2019‒09‒23
eight papers chosen by João José de Matos Ferreira Universidade da Beira Interior |
| By: | Andreas Pfnür; Julian Seger; Rianne Appel-Meulenbroek |
| Abstract: | The worldwide research on corporate real estate management (CREM) over the past decades leaves no doubt that this area has a decisive influence on the success of a company. However, there are still great uncertainties about the impact of CREM decisions on the firm success and the underlying causal relationships. Depending on the perspective from which CREM decisions are made, the goals and the targeted contributions to success can vary greatly. In research work, CREM has been for example examined from the perspectives of the labour productivity at the workplace, the influence on competitiveness in sales and factor markets, the financial contribution in context of corporate finance or the efficient provision of real estate resources from the viewpoint of construction and the real estate industry. In their influence on the success of a company, CREM decisions can result in competing, complementary or independent effects. Empirical studies show that the high complexity of the target system is one of the most important challenges for CREM. So far, there is no holistic concept that explains the different success contributions of CREM in their mechanisms and classifies them holistically. The purpose of this article is to develop a holistic model to explain the relationship between CREM decisions and business success and to test it empirically.In a first step, a literature-based multidimensional framework for corporate real estate's contribution to corporate success is derived. In a second step, the framework has been validated empirically on the basis of a dataset collected from computer assisted telephone interviews (CATI) among the CREM managers of the 200 largest German companies. The answers of the decision makers are positioned in a solution space using multidimensional scaling. This is followed by an comparison whether the empirically generated structure represents the dimensions and mechanisms of the framework. Finally, hierarchical-agglomerative cluster analyses are performed to validate the results.The results show that the influence of CREM on corporate success can be divided into three mechanisms: operating performance, real estate performance and financial performance. On the other hand, CREM success can be differentiated according to its maturity. If both considerations are combined, the result is a two-dimensional framework that contains all the effects of CREM on the firm success. The mechanisms of the framework can be empirically confirmed in their essential elements. The article provides an overview of the very broad, interdisciplinary literature on the connection between corporate real estate management and corporate success. The mechanisms are systematised in a holistic concept. The deeper understanding of the different CREM effects on corporate success is the basis for the effective development of CREM concepts in theory and practice. |
| Keywords: | Cluster Analysis; Corporate real estate management; CREM performance; multidimensional scaling |
| JEL: | R3 |
| Date: | 2019–01–01 |
| URL: | http://d.repec.org/n?u=RePEc:arz:wpaper:eres2019_144&r=all |
| By: | Estolatan, Eric; Geuna, Aldo (University of Turin) |
| Abstract: | The case studies described in this paper investigate the evolution of the knowledge bases of the two leading EU robotics firms - KUKA and COMAU. The analysis adopts an evolutionary perspective and a systems approach to examine a set of derived patent-based measures to explore firm behavior in technological knowledge search and accumulation. The investigation is supplemented by analyses of the firms' historical archives, firm strategies and prevailing economic context at selected periods. Our findings suggest that while these enterprises maintain an outwardlooking innovation propensity and a diversified knowledge base they tend to have a higher preference for continuity and stability of their existing technical knowledge sets. The two companies studied exhibit partially different responses to the common and on-going broader change in the robotics industry (i.e. the emergence of artificial intelligence and ICT for application to robotics); KUKA is shown to be more outward-looking than COMAU. Internal restructuring, economic shocks and firm specificities are found to be stronger catalysts of change than external technology-based stimuli. |
| Date: | 2019–06 |
| URL: | http://d.repec.org/n?u=RePEc:uto:labeco:201904&r=all |
| By: | Enghin Atalay (University of Wisconsin, Madison); sarada sarada (UNIV OF WISCONSIN-MADISON) |
| Abstract: | Using the text of vacancy postings from 1940 to 2000, we examine the characteristics of firms which hire for newly emerging and soon-to-be disappearing work practices. To do so, we classify job titles as emerging or disappearing according to the years in which they appear. We verify that emerging work involves higher skill levels and is closer to the technological frontier --- qualities inherent to innovation. We find that, among the set of publicly listed firms, those which post ads for emerging work tend to be younger, more R&D intensive, and have higher future sales growth. Among privately held firms, those which post ads for emerging work are more likely to go public in the future. We then explore heterogeneity in the job vintage-firm performance relationship according to jobs that are in product-related technical fields versus in business related non-technical fields. New technological work correlates with R&D intensity and future sales growth, while survival and publicly traded status is more closely related to having newer vintages of business-related non-technological jobs. Our measures of firm innovativeness can be constructed for all employers, and are not limited to publicly traded firms or to industries in which R&D spending and patenting are prevalent. |
| Date: | 2019 |
| URL: | http://d.repec.org/n?u=RePEc:red:sed019:484&r=all |
| By: | Amitabh Anand (GREDEG - Groupe de Recherche en Droit, Economie et Gestion - UNS - Université Nice Sophia Antipolis - UCA - Université Côte d'Azur - CNRS - Centre National de la Recherche Scientifique, SKEMA Business School); Isabelle Walsh (SKEMA Business School, GREDEG - Groupe de Recherche en Droit, Economie et Gestion - UNS - Université Nice Sophia Antipolis - UCA - Université Côte d'Azur - CNRS - Centre National de la Recherche Scientifique); Sandra Moffett (School of Computing and Intelligent Systems - University of Ulster) |
| Abstract: | Purpose-Despite the strong focus on virtues in firms, humility is little recognized in the management literature and, more particularly in the literature about knowledge sharing (KS). Despite efforts to foster KS among employees in firms, the effectiveness of this process narrows down to the dyadic relationship between the knowledge seeker and provider within firm. This paper aims to investigate the role of humility in the KS process in dyadic activity. Design/methodology/approach-The authors undertake an exploratory investigation to fill some of the gaps found in the literature. The paper draws insights from psychology, history, religion, current events and management literature. Findings-The authors identify several individual propensities that help predict humility towards sharing knowledge from seeker (humble knowledge-inquiry) and provider perspectives (humble response). They propose a new conceptual process model of KS with humility as an important variable to consider. This work highlights several promising directions for future research. Originality/value-As per the authors' knowledge, this is the first paper that investigates the role of humility in knowledge sharing from dyadic perspective. The authors also introduce concepts of humble knowledge inquiry and humble response in a dyadic context for effective knowledge sharing process. |
| Keywords: | Dyadic,Humility,Humble response,Humble inquiry,Knowledge sharing |
| Date: | 2019 |
| URL: | http://d.repec.org/n?u=RePEc:hal:journl:halshs-02284002&r=all |
| By: | Linda Julies; Rianne Appel-Meulenbroek; Astrid Kemperman; Theo Arentze |
| Abstract: | Corporate Real Estate Management (CREM) has evolved since Joroff developed his seminal framework of CREM evolution in the 1990s. According to this evolution, each stage forward adds additional activities to the job of a CREM department in their search for added strategic value and alignment. Along the five stages CREM departments move from a more operational towards a more strategic role. More recent research has shown that not all CRE departments have reached the highest step on the evolutionary ladder (the Business strategist stage). It remains unclear whether they might not want to do so or just lack the skills to perform the necessary activities.The aim of this study was therefore to identify the necessary skills for important CREM activities for each evolutionary stage. Data was collected through a survey among 53 members of the Dutch network of CRE executives (CREME). Findings show that strategic CREM departments are more inclined to pursue employee satisfaction and –productivity, increasing innovation and promoting marketing & sales, while their operational counterpart aim more often at cost reduction, asset value, increasing flexibility and sustainability. Regarding important CREM activities, strategic CREM executives state portfolio management, strategic planning, contract and property management as most important, while their operational counterparts are focused more on administrative/financial management, acquisition & disposition and performance measurement. When identifying specific skills for their activities, again strategic CREM executives choose different skills than their operational counterparts for each activity.The results of this research are useful for CREM in practice, but also for improving the content of real estate courses at universities and in practice. Future studies could identify time spend on activities and how skills improve actual performance of CREM departments. |
| Keywords: | Activities; Corporate real estate management; skills; Strategy |
| JEL: | R3 |
| Date: | 2019–01–01 |
| URL: | http://d.repec.org/n?u=RePEc:arz:wpaper:eres2019_93&r=all |
| By: | Iqbal, Muhammad; Alam Kazmi, Syed Hasnain; Manzoor, Dr. Amir; Rehman Soomrani, Dr. Abdul; Butt, Shujaat Hussain; Shaikh, Khurram Adeel |
| Abstract: | In today's world the data is considered as an extremely valued asset and its volume is increasing exponentially every day. This voluminous data is also known as Big Data. The Big Data can be described by 3Vs: the extreme Volume of data, the wide Variety of data types, and the Velocity required processing the data. Business companies across the globe, from multinationals to small and medium enterprises (SMEs), are discovering avenues to use this data for their business growth. In order to bring significant change in businesses growth the use of Big Data is foremost important. Nowadays, mostly business organization, small or big, wishes valuable and accurate information in decision-making process. Big data can help SMEs to anticipate their target audience and customer preferences and needs. Simply, there is a dire necessity for SMEs to seriously consider big data adoption. This study focusses on SMEs due to the fact that SMEs are backbone of any economy and have ability and flexibility for quicker adaptation to changes towards productivity. The big data holds different contentious issues such as; suitable computing infrastructure for storage, processing and producing functional information from it, and security and privacy issues. The objective of this study is to survey the main potentials & threats to Big Data and propose the best practices of Big Data usage in SMEs to improve their business process. |
| Keywords: | SME; Big Data; Efficieny; Analytics; Competitive Advantage |
| JEL: | C8 M1 M15 |
| Date: | 2018–03–04 |
| URL: | http://d.repec.org/n?u=RePEc:pra:mprapa:96034&r=all |
| By: | Wei Keat Benny Ng; Rianne Appel-Meulenbroek; Myriam Cloodt; Theo Arentze |
| Abstract: | Technology development is increasingly important for creating efficient and sustainable economies. One of the innovation policies are science parks, area developments where technology-based firms and knowledge-based institutions co-locate. Preferences of technology-based firms relate to the presence and quality of certain facilities, services, and location attributes, which are means for achieving organizational goals. As science parks are locations that generally offer a mix of such facilities and services, it can be configured in numerous ways. The gap between what science parks offer and what tenants need has been acknowledged as troublesome by science park managers and tenants as this gap can negatively influence the performance of science parks and their tenants. Therefore, this study focuses on the preferences of technology-based firms in relation to science park attributes and if different target groups can be distinguished from these preferences. To collect data about preferences, an online survey is distributed among technology-based firms both on and off science parks in the Netherlands. Using the technique of stated-choice experiments, decision-makers of technology-based firms (i.e. CEOs) are presented carefully designed hypothetical science-park locations and asked to indicate which location they would prefer if they would relocate. In the experimental design used, each hypothetical location consists of seven attributes each with three levels. The choice data allows for estimating the preference values for the different levels of each attribute, while taking into account the respondent’s current situation, using a discrete choice model as framework (a latent class model). This research provides insights on which science park attributes are desirable for technology-based firms and how much firms are willing-to-pay for particular attributes. Furthermore, differences in preferences between distinct target groups among technology-based firms are analyzed. For practice, the insights allow management of science parks to better adapt services and location characteristics to demands of the target groups of interest. |
| Keywords: | Corporate real estate management; science parks; Stated choice experiment; Technology firms |
| JEL: | R3 |
| Date: | 2019–01–01 |
| URL: | http://d.repec.org/n?u=RePEc:arz:wpaper:eres2019_40&r=all |
| By: | Costas Arkolakis (Yale University); Michael Peters (Yale University); Sun Kyoung Lee (Columbia University) |
| Abstract: | What is the role of immigrants on (American) Growth? To answer this perplex question, we undertake a massive effort of collecting, digitizing, and harmonizing micro and macro economic data from the 19th and early 20th century. The data originate from the historical manufacturing and demographic census of the United States, immigration records datasets and the universe of US patents. To analyze the counterfactual implications of alternative allocations of immigrants, we develop a dynamical trade model where heterogenous firms make innovation and exporting decisions across space and time. The model predicts that the timing and the spatial allocation of immigrant arrivals affect the path of growth outcomes for each location and the aggregate US economy. We use the structural equations arising from the model to interpret empirical findings from the difference-in-difference analysis for the importance of the influx of skilled immigrants on the differential growth of US counties. Counterfactual scenarios of alternative allocation of skilled immigrants from different countries across space and time reveal the economic impact of barriers to migration to the United States economy. |
| Date: | 2019 |
| URL: | http://d.repec.org/n?u=RePEc:red:sed019:1420&r=all |