How far from harmonization are sanitary,phytosanitary and quality-related standards? An exporter’s perception approach

Harmonization of trade regulations and standards is perhaps the most contentious issue regarding export markets due to the impacts that it can have on trade. We determine the extent of harmonization as perceived by exporters with respect to the major Sanitary and Phytosanitary Standards (SPSs) and quality measures which Chile faces in 16 international fresh fruit markets. The methodology combined qualitative and quantitative techniques. First, the most relevant safety and quality standards and regulations were identified and ranked. Second, a representative sample of exporters was interviewed to assess their perceptions regarding the level of stringency across markets and time for selected regulations. Perceptions were ranked on a likert scale and based on this scale a stringency index was constructed. The results show that Chile faces regulations which can be grouped into the following categories: (i) phytosanitary measures; (ii) tolerance limits for pesticide residues and contaminants; (iii) hygiene requirements; (iv) labeling, marking and packaging; (v) product and process standards; and (vi) registration procedures and other import requirements. The number of regulations varied among countries, ranging from 13 to 3 out of the 14 considered in the study. The most stringent country among the sample as perceived by exporters was México, whereas the least stringent was Saudi Arabia. Additionally, exporters agreed that stringency has increased over time with an average of 15% between 2005 and 2009.     

Neural network application for fuzzy multi-criteria decision making problems

In this paper, a fuzzy multi-criteria decision making model is presented based on a feed forward artificial neural network. This model is used to capture and represent the decision makers' preferences. The topology of the neural network model is developed to train the model. The proposed model can use historical data and update the database information for alternatives over time for future decisions. Basically, multi-criteria decision making problems are formulated, and neural network is used to learn the relation among criteria and alternatives and rank the alternatives. We do not use any utility function for the modeling; however, a unique method is proposed for eliciting the information from decision makers. The proposed model is applicable for a wide variety of multi-attribute decision making problems and can be used for future ranking or selection without managers' judgment effort. Simulation of the managers' decisions is demonstrated in detail and the design and implementation of the model are illustrated by a case study.     

Identifying leaders and laggards—A method and application to US local telephone companies

Performance attributes of public utilities vary in definition according to the stakeholder: service provider, customer or regulator. A framework is provided for defining, measuring and ranking service quality from multiple perspectives by developing a “quadrant analysis” method. This method is applied and US local telephone companies are ranked over time as leaders and laggards or biased according to one, two and three stakeholder perspectives. Application of the method to 1994–2001 data for the US local telephone industry suggests that some local companies hold their position consistently as leaders among their peers in the industry and some continue to lag behind. While the leaders could be studied for best practices the analysis of the laggards’ practices would also yield valuable insights regarding good practice as perceived by the different stakeholders.     

Commercial Real Estate Rental Index: A Dynamic Panel Data Model Estimation

Using the actual quarterly rental income generated in the years between 2001 and 2010 by over 9,000 NCREIF commercial properties, we construct a commercial real estate rental index and estimate the time series properties (e.g., mean‐reversion speed and volatility) of market‐wide rental growth using a dynamic panel data model. The dynamic panel data model has several advantages over a standard hedonic regression. In addition, we incorporate age effects into our panel data model, and by doing so we correct the age bias in the repeated sales method and in the simple average method. Our estimates show that rental growth is cyclical but it generally lags behind broader economic growth. Surprisingly, the long‐term average rental growth is significantly lower than what is usually perceived, and the volatility of rental growth can be significantly under estimated when the conventional methods are adopted. We also find significant cross‐property type and cross‐region variations in the rental adjustment process. In contrast to the existing literature, we find a strong negative relation between rental growth and cap rate, and that this relation is significantly stronger than that between NOI growth and cap rate. Finally, we establish an empirical relation between price return and rental growth in the commercial real estate market.     

Exciting,boring, and nonexistent skylines: Vertical building gaps in global perspective

Despite the widespread prevalence and economic importance of tall buildings, little is known about how their patterns vary across space and time. We aim to quantify differences across major world regions over time (1950–2020). To do so, we exploit novel data on the location, height (above 55 m), and year of construction of nearly all tall buildings in the world. We propose a new methodology to estimate the extent to which some world regions build up more than others given similar economic and geographic conditions, city size distributions, and other features. Our analyses reveal that many skylines may visually appear more prominent than they really are once one includes all tall buildings and core controls, which alters how regions are ranked in terms of tall building stocks. Using results by city size, centrality, height of buildings, and building function, we classify world regions into different groups, finding that tall building stocks are likely driven by boring skylines of residential high-rises, and to a lesser extent exciting skylines of skyscrapers and office towers. Finally, land-use regulations and preferences, not historical preservation nor dispersed ownership, may account for most observed differences.     

Text matching to measure patent similarity

Research Summary : We propose using text matching to measure the technological similarity between patents. Technology experts from different fields validate the new similarity measure and its improvement on measures based on the United States Patent Classification System, and identify its limitations. As an application, we replicate prior findings on the localization of knowledge spillovers by constructing a case–control group of text‐matched patents. We also provide open access to the code and data to calculate the similarity between any two utility patents granted by the United States Patent and Trademark Office between 1976 and 2013, or between any two patent portfolios. Managerial Summary : We propose using text matching to measure the technological similarity between patents. The method can be used by various practitioners such as inventors, attorneys, patent examiners, and managers to search for closely related prior art, to assess the novelty of a patent, to identify R&D opportunities in less crowded areas, to detect in‐ or out‐licensing opportunities, to map companies in technology space, and to find acquisition targets. We use an expert panel to validate the improvement of the new similarity measure on measures based on the United States Patent Classification System, and provide open access to the code and data to calculate the similarity between any two utility patents granted by the USPTO between 1976 and 2013, or between any two patent portfolios.     

Strategic planning for technology products

A DELPHI Questionnaire study was completed that evaluates the relative importance of management of technology (MOT) problems and ranks 24 problems in order of importance, as perceived by MOT expert participants in industry and academia. The problem of 'Strategic Planning for Technology Products' ranked well above all others in terms of its evaluated importance. A follow‐up DELPHI study was completed to clarify the nature and dimensions of the top problem. This second study identifies the 21 top ranked sub‐problems within the Strategic Planning for Technology Products general problem and ranks these sub‐problems in order of importance. The two most important of these sub‐problems are 'Linking Technology Strategic Planning to Corporate Strategic Planning', and 'Linking R&D Strategic Planning to Business Unit Product Development Planning'. Seen as closely related, these two problems are discussed in this article as 'the linkage problem'. The 11 highest ranked problems of this second study are considered individually in this article. This follow‐up study has important implications for both academic researchers and company managers. For researchers the results suggest specific avenues of research that can fruitfully be followed. For technology managers as well as corporate managers the study offers strong indications of areas where company planning performance may be weak, as well as steps that can be taken to deal with any planning weaknesses perceived.     

Effective interim collaboration: how firms minimize transaction costs and maximise transaction value

This study of automotive transaction relationships in the U.S.A. and Japan offers data which indicate that transaction costs do not necessarily increase with an increase in relation-specific investments. We empirically examine the conditions under which transactors can simultaneously achieve the twin benefits of high asset specificity and low transaction costs. This is possible because the different safeguards which can be employed to control opportunism have different set-up costs and result in different transaction costs over different time horizons. We examine in detail the practices of Japanese firms which result in effective interfirm collaboration. © 1997 by John Wiley & Sons, Ltd.     

India-focused publications in leading international business journals

Despite an increase in the number of India-focused articles appearing in leading international business journals, there has not been any attempt to conduct systematic reviews that can inform academicians and practitioners about research that has accumulated over the years and identify areas that may be worthwhile to pursue in the future. This article attempts to fill this gap by providing an overview of all publications focusing on the Indian context that appeared in seven leading international business journals between 1991 and 2008. Findings suggest that 74 publications involving 180 authors affiliated to 112 academic and six non-academic institutions from nine international locations contributed to the research by examining a wide variety of international business topics. Findings also reveal that authors affiliated to US-based institutions published more than others and the majority of top-cited publications appeared after 1995. Contributions of various authors and institutions are ranked and summaries of publication types, research methodologies, examined topics, and citations received by different articles are provided. This article concludes by suggesting avenues of future research.     

The temporal effects of relative and firm‐level absorptive capacity on interorganizational learning

We examine how determinants of absorptive capacity influence learning in alliances over time. Using longitudinal patent cross‐citation data, we find an inverted U‐shaped pattern over time that is influenced by firm‐level and relational factors. Technological similarity only modestly increases learning in the initial stages of a relationship, but moderate levels substantially increase knowledge flows later in the alliance. High technological diversity is related to higher initial learning rates, but the effects diminish over time. Somewhat surprisingly, research and development intensity is negatively related to initial learning rates but has a considerable positive effect later in the relationship. We suggest that initial learning rates in alliances may be constrained by the capacity to absorb knowledge, while later‐stage outcomes are constrained by exploitation capacity. Copyright © 2012 John Wiley & Sons, Ltd.     

Inflation Risk, Payment Tilt, and the Design of Partially Indexed Affordable Mortgages

This paper integrates two fundamentally important parameters into a theory of optimal mortgage design: the proportion of inflation risk borne by the lender / investor and the borrower and the amortization-graduation schedule for loan repayments. Equations are derived for a family of innovative mortgages, termed hybrid PLAMs, which offer advantages to borrowers and lenders over either the standard fixed rate mortgage (FRM) or the price level adjusted mortgage (PLAM). The superiority of the hybrid PLAMs lies in their ability to simultaneously and independently accommodate differing degrees of inflation-risk sharing and payment affordability. Inflation-risk sharing is represented by an indexation parameter set over a continuum of values such that the FRM has zero index variability and the PLAM has unit index variability. Similarly, payment tilt is represented by a tilt parameter such that the FRM has zero tilt and the PLAM has unit tilt. We demonstrate that these two parameters are independent and can each be continuously varied in a two-dimensional family of self-amortizing mortgages. A specific hybrid PLAM can be designed to partition inflation risk in any proportion between the borrower and the lender and to simultaneously prescribe any level of payment tilt between the extremes of the FRM and PLAM. The behavior of representative hybrid PLAMs is simulated and compared to FRMs and PLAMs for three different inflation scenarios, one of which uses actual market data from the period of 1960–1990.     

A Normalized Citation Analysis of Real Estate Journals

This study presents an analysis of the citation patterns and rankings for journals in real estate and related areas for the period 1990–1995. Journals were ranked based on the number of times they were cited in four base journals with adjustments for journal size and longevity. The results show that Real Estate Economics is the most cited journal among real estate publications, followed closely by the Journal of Real Estate Finance and Economics and the Journal of Real Estate Research . A temporal analysis reveals a shift in citations, over the time period, away from the traditional economics and practitioner-oriented journals to the academic real estate journals.     

Measuring value creation and appropriation in firms: The VCA model

Research summary : Using a productivity technique (VCA model), we estimate the economic value created by a firm and appropriated by its stakeholders in two specific empirical contexts. In the first application, we use publicly available data from the U.S. airline industry to illustrate how the VCA model can be used with multiple stakeholder groups. In the second application, we provide estimates for three global automobile companies (GM, Toyota and Nissan), showing how the model can be reformulated using value added. In both industries we find substantial heterogeneity among firms in the creation and distribution of value. We discuss strengths and limitations of the VCA model and implications for strategic management research. Managerial summary : Firms create value not only for shareholders, but also for other stakeholders, including employees, customers and suppliers. This article applies a method to quantify the “new” economic value created by a firm over an interval of time; the method also reveals the distribution of that value among the stakeholders. The proposed method gives managers some means to assess changes in the economic value created and distributed. We find that the creation and distribution of value has varied greatly among major U.S. airlines and global automakers in recent decades. Moreover, returns to shareholders typically accounted for only a small proportion of firms' total value creation and often had little relation to broader changes in the magnitude and distribution of value. Copyright © 2016 John Wiley & Sons, Ltd.     

An option approach to the new product development process: a case study at Philips Electronics

The paper considers the product development process as a series of (real) options with reducing uncertainty over time. Criteria are developed to decide on speeding up or delaying the development process. The paper demonstrates how, in the R&D phase, any particular project may be assigned within a 2 × 2 matrix of uncertainty versus R&D option value. A similar matrix can be established for the product launch phase. The matrices support portfolio management throughout the different phases of development and enable management to decide on an appropriate point at which to abandon individual projects. The approach originates from applying real options insights into the product development process at Philips Electronics. The paper is illustrated with some actual R&D projects.     

Schumpeter's ghost: Is hypercompetition making the best of times shorter?

At the center of Schumpeter's theory of competitive behavior is the assertion that competitive advantage will become increasingly more difficult to sustain in a wide range of industries. More recently, this assertion has resurfaced in the notion of hypercompetition. This research examines two large longitudinal samples of firms to discover which industries, if any, exhibit performance that is consonant with Schumpeterian theory and the assertions of hypercompetition. We find support for the argument that over time competitive advantage has become significantly harder to sustain and, further, that the phenomenon is limited neither to high‐technology industries nor to manufacturing industries but is seen across a broad range of industries. We also find evidence that sustained competitive advantage is increasingly a matter not of a single advantage maintained over time but more a matter of concatenating over time a sequence of advantages. Copyright © 2005 John Wiley & Sons, Ltd.     

A FRAMEWORK FOR ANALYZING CHANGES IN STRATEGIC PERFORMANCE

In this paper we present a framework for analyzing changes in strategic performance. Traditional measures for comparing the strategic performance across firms or over time have been return on investment (ROI) and its component ratio, return on sales (ROS). We decompose the ROS ratio into four separate ratios that capture the impact of changes in a firm's productivity, price recovery, product mix and capacity utilization on its profitability. These ratios help to highlight the micro sources of strategic success or failure. They can be used to assess changes in the performance of a firm compared to itself over time, or to other firms in its industry group. This framework can also be used to evaluate changes in the dynamic performance of an industry as a whole. We illustrate the use of these ratios with a 4-year analysis of the performance of a large manufacturing company. We also demonstrate how the technique can be applied to an industry with an evaluation of the performance of U.S. telecommunications firms between 1975 and 1987, a period during which the industry experienced a progressive increase in competitive pressure.     

Coordination at different stages of the product design process

This paper addresses the following question: how does the coordination challenge faced by managers change over the life of time bound projects such as product design. We use coordination structure, an approach to modeling organizational situations that highlights concurrent responsibility interdependencies rather than the more traditional task interdependencies. We explain coordination structure and use it to capture the responsibility interdependencies in a sample of complex system design projects drawn from two different organizations. We use this data: to illustrate the differences possible in the responsibility interdependencies that can exist within design projects from different organizations and at different project key points; to identify a set of four basic modules, or groupings, of responsibility interdependencies useful for modeling design organizations; and to generate a set of testable hypotheses on how the coordination challenge faced by project managers can vary between organizations and over project key points.     

Active-set sequential quadratic programming method with compact neighbourhood algorithm for the multi-polygon mass production cutting-stock problem with rotatable polygons

The cutting-stock problem, which considers how to arrange the component profiles on the material without overlaps, can increase the utility rate of the sheet stock, and is thus a standard constrained optimisation problem. In some applications the components should be placed with specific orientations, but in others the components may be placed with any orientation. This study presents an overlap index and it is much more suitable for the active-set SQP method which can reduce the time spend for constraint consideration. Using this method, various object orientations can be considered easily and the number of object on the sheet stock can be improved by up to eight percent.     

Impact of data trade restrictions on IT services export: A cross-country analysis

Trade in digital goods and services have witnessed increasing growth in recent years, accompanied by a corresponding increase in data flows across national boundaries. At the same time, governments around the world have enacted data policies that restrict such cross border data flows in their effort to claim sovereignty over data generated from within their countries. However, scholars have long proclaimed that any restrictions to the Internet and associated digital trade will have serious economic consequences. Given this context, we analyze the impact of data policies that impose restrictions on digital trade, specifically on cross border data flows. We construct Market Data Restrictions Index (MDRI), that measures the data restrictions faced by an exporting country from their trade partners. We use a variation of random effect model on a panel data set consisting of 60 countries that contribute to more than 50 percent of IT services export during the period 2006–2017. The results indicate that apart from variables such as Foreign Direct Investment, and Service Value Added, the MDRI of partner countries has a moderate negative effect on IT services export. If countries move from liberal policies to stringent data restrictions, the economies of the country that exports its ICT services to these partner countries is affected substantially. Hence government regulators shall be cautious in imposing stringent data restrictions as it affects global digital trade.