A theory of the temporary organization

The idea of the firm as an eternal entity possibly came in with the era of industrialism. In any case, the practical consequences of this idea contrast sharply with many ideas about projects and temporary organizations. Mainstream organization theory is based upon the assumption that organizations are or should be permanent; theories on temporary organizational settings (e.g., projects) are much less prevalent. In this article, we address the need for a theory of temporary organizations, thus seeking to supplement traditional project management wisdom. We also suggest some components of such a theory by elaborating on certain ideas about projects. “Action”, as opposed to “decision”, is one such component which is central to a theory of the temporary organization. In some respects we are thus dealing with antipoles, in other respects with concepts similar to those in established mainstream organizational theory. The role of “time” in the firm is different as compared to its role in the temporary organization. The differences have several important implications and we are able to suggest a coherent outline of a theory which we believe could be useful and which also covers several important aspects of temporary organizations.     

The ‘science’ and ‘practice’ of HRM in small firms

This paper looks at the ‘science’ and ‘practice’ of human resource management in small firms. While there is growing evidence that the practice of human resource management in small firms is characterized by informality, there is less evidence about the science, or explaining why this is the case. We look to writing on strategic human resource management, which has at its heart the resource based view of the firm, for possibilities offered to understanding the science of human resource management in small firms.     

Recombination in digital innovation: Challenges,opportunities, and the importance of a theoretical framework

In this article I argue that the quest to establish digital innovation as a research domain is hindered by three challenges. As digital innovation research we are too often: a) reifying the agency of digital innovation actors; b) developing explanations of digital innovation detached from the specifics of digital technology, and c) developing overly specific explanations of digital innovation. I begin by providing a brief overview of the recombination perspective and considering why this perspective holds great appeal in the digital age. I then engage with Henfridsson et al.'s (2018) value spaces framework as a platform for framing value creation and value capture in relation to recombination in digital innovation. Next, I push Henfridsson et al.'s arguments one step further to discuss them in relation to what I consider to be the key challenges for digital innovation research. Illustrating with some of my own recent projects, I suggest that in order to fully address these challenges we need to (1) develop explanations of digital innovation acknowledging the complexity of sociomaterial interaction in digital innovation; (2) develop explanations of digital innovation building on the specifics of digital technology, and (3) develop explanations of digital innovation based on an oscillation between the specific and the general. The article concludes by pointing to future challenges and developments for digital innovation research.     

Entrepreneurship,innovation and economic growth

The linkages among entrepreneurship, creativity, innovation and economic growth are only vaguely understood presently. This paper is an attempt to improve that understanding. The first step in establishing the linkages requires the formulation of knowledge about the psychological make-up of entrepreneurs. These questions are pertinent: What motivates humans to become entrepreneurs? Are entrepreneurs “rational economic men”? How important are monetary rewards to entrepreneurial creativity ? The second step requires information about how the human brain functions. The brain is bi-hemispheric and both sides of the brain play an important role in human decision-making. Nevertheless, we have a cultural bias in favor of the functions performed by the brain's left side. The third step requires an understanding of the process of creation and innovation. Several stages in this process have been identified. The stages of preparation, incubation, and illumination involve the brain's right hemisphere while the verification stage involves the left hemisphere. The final step integrates the first three. We assume that entrepreneurship is an essential determinant of economic growth, that the entrepreneurial function involves creation and innovation, and that entrepreneurship can be taught. This article is intended to provoke thinking and research incorporating new insights from several disciplines. These insights appear to bear more on entrepreneurship than is generally acknowledged.     

Tracking innovation: The need for reliable measures of its presence and effects

It is generally accepted that innovation is an essential ingredient of corporate success and, when pervasive, strengthens the economy while warding off foreign competition. Many point to a perceived weakening of this process in U.S. firms as a contributing factor to the steady decline of productivity growth vital to our nation's stability. They clamor for government programs to encourage technical venturing, embracing the “R & D hypothesis” which declares that privately sponsored research is the wellspring of innovation, and thus the key to a producer's prosperity — leading to more vigorous industries.In response, Washington is seeking ways to spur private spending on R & D during this era of diminished Federal backing for research. Such initiatives are handicapped by a lack of data establishing the existence and extent of the apparent slump in industrial creativity. Also there is scant information available to management that demonstrates a close correlation between fortunes of the firm and activities characterized as innovations. Without such evidence, business appears reluctant to abandon its cautious attitude towards support of R & D that cannot be readily commercialized.Little is known about innovation's economic impact or bearing on the survival of an enterprise. The connection between industrial research and the launch of desirable products is too abstruse to permit the assumption that in-house R & D inevitably spawns viable innovations. We do not have data which permit rational decisions for the effective management of innovation by firms, or the design of a workable model for the process. This information gap has a deleterious effect in industries traditionally dependent upon research, and leads to strategies — aimed at fostering innovation — that are inadequate, badly timed or ill conceived.An innovation stems from a series of management decisions motivated by the quest for profits and tempered by industry conditions — government incentives notwithstanding. Companies pay for R & D which promises revenues that would not otherwise appear, and back a new product when the expected return is comparable to that from less risky alternative investments. They require an easily administered method for verifying, in accounting terms, the outcome of an innovation so its contribution to profits can be contrasted with the yield from product improvements or line extensions. Management could then weigh a proposed innovation the same way it evaluates other commitments.Authors of public policy need to monitor the pace of innovation on a regional or national scale so that they can determine when stimulants are called for — to restore this activity to the desired level. The traditional indices of innovation's intensity are imprecise, and misleading if the purpose be to identify a trend. “R & D expenditures” must be viewed with circumspection for they are not always incurred in pursuit of innovations, especially with increasing outlays for compliance with government regulations. “Patents awarded” or “technical articles published” are scant proof of seminal activity, and “government contracts awarded” is not a useful statistic. A true “index of innovation” is needed to guide public policy — one founded on data tied to the launching of products.In conclusion, this article suggests a technique for quantifying innovation inside the firm, as a planning tool of management and to provide the data base for a meaningful “index of innovation”. It describes the index, to be derived from data reported by a representative sample of geographically dispersed companies. A procedure is outlined for generating such data in firms, collecting it by a central authority, and calculating the index.     

The role of supply management innovativeness and supplier orientation in firms’ sustainability performance

Questions about the influencing factors and measurement of firms' sustainability performance have attracted growing research interest, as the requirements for sustainability have steadily increased. This study examines whether supply management innovativeness and supplier orientation make positive impacts on firms' overall sustainability performance. An empirical study based on a survey targeting large- and medium-sized manufacturing companies in Finland shows that innovativeness in supply management considerably influences a firm's overall sustainability performance and that supplier orientation positively relates to sustainability performance. The benefits of innovativeness in supply management and strategic supplier orientation are directly realised in sustainability performance. Therefore, supply management is not only a gatekeeper against sustainability risks arising from the supply base but is also a function by which new ideas aiming to influence supply markets and firms' sustainability are presented.     

Utilization and productivity of the Duke physician's associate

The objectives of this study were as follows: (1) Formulate a theoretical model of the typical medical practice as a system for producing medical care, with particular attention to the role of middle-level health workers such as graduates of Duke University's Physician's Associate Program. (2) Develop a methodology for collecting data necessary to estimate the relevant parameters in the model, and to describe current patterns of utilization of Duke PA's. (3) Draw substantive conclusions, insofar as the model and data collection methodology permit, about the actual and potential productivity of Duke PA's.As of October 1971 Duke University had graduated 68 PA's from its Physician's Associate Program. Of these, 34 are employed as assistants in family practice or general medicine in a variety of private and institutional settings. Data were collected on eleven of these 34 PA's. No attempt was made to study the other 34 graduates engaged in clinical specialties, administration, or other functions. Neither was any attempt made to collect data on or draw inferences about the utilization and productivity of graduates of any other program such as the MEDEX Program.⁴     

Testing rational expectations by the use of overidentifying restrictions

A simple econometric test for rational expectations in the case in which unobservable, rationally expected variables appear in a structural equation is presented. Using McCallum's instrumental variable estimator as a base, a test for rational expectations per se and a joint test of rational expectations and hypotheses about the structural equation are presented. The new test is shown to be a new interpretation of Basmann's test of overidentifying restrictions. As an illustration, the hypothesis that the forward exchange rate is the rationally expected future spot exchange rate is tested and rejected.     

Facets of narcissism and leadership: A tale of Dr. Jekyll and Mr. Hyde?

Research on narcissism continues to develop at a rapid pace. Yet, researchers from different disciplines are still divided over whether narcissists are good versus bad leaders. On the one hand, narcissists' bright qualities (e.g., charisma) are associated with positive outcomes at different levels of analysis from subordinates, to peers, and the organization as a whole. On the other hand, however, narcissists' dark qualities (e.g., entitlement) are associated with a number of counterproductive work behaviors, causing organizations to falter. The present article adds to and extends the traditional good-versus-bad debate about narcissistic leadership and pursues three goals: (a) to critically review the literature on narcissistic leaders and their behaviors in the workplace, (b) to provide tangible recommendations for how to best assess, select, and develop narcissistic leaders, and (c) to highlight future directions and ongoing challenges ahead in the field of narcissistic leadership.     

Untangling Political Ideology and Party Identification in the United States

By analyzing an election night survey of voters in the 1992 U.S. Presidential election, this article explicates the meaning, relationships, and effects on vote of ideological self-designation (liberal, centrist, conservative) and party identification (Democrat, Independent, Republican). In addition to concern about a candidate's character, different interests about governmental interventions designed to augment economic equity, social equality, and the public's health interpret the meaning of these categories. Using seven social attributes as instruments, a two-stage least-squares analysis and a sensitivity analysis suggest that ideology has a stable net direct effect on party identification. The effect of party identification on ideology is negligible. Concern about a candidate's character and public health interests strongly interpret the effect of ideology on party identification; the effects of interests concerning equity and rights are not as strong. Because the social attributes explain very little variance in vote, whereas more malleable variables – ideology and party identification – have very strong effects, electoral choices now tend to be more changeable than in the past.     

On the existence of a probability measure compatible with a total preorder on a Boolean algebra

If an economic agent's beliefs about the relative likelihood of events are characterized by a total preorder ? on the algebra $\text{A}$ of events, the problem arises to know under which conditions, ? is representable by a probability measure. Here we show that there exists a probability measure compatible with a total preorder on a Boolean algebra, if and only if, the Boolean algebra is well bounded, weakly Archimedean, and perfectly separable, this last condition substituting for Villegas' monotone condition used in Chateauneuf and Jaffray (1984); if σ-additivity is required. Villegas' monotone condition, must merely be added.     

A model for diagnosing organizational behavior

This article has presented a general approach for thinking about organizational functioning and a process for using a model to analyze organizational problems. This particular model is only one way of thinking about organizations; its clearly not the only model, nor can we claim it's definitively the best model. It is one tool, however, that may be useful for structuring the complexity of organizational life and helping managers create, maintain, and develop effective organizations.     

Patents for genetic inventions: a tool to promote technological advance or a limitation for upstream inventions?

Today's conventional wisdom among economists and lawyers is heavily weighted toward the proposition that strong and broad patent rights are conducive to economic progress. Concerns have been raised as to the extent to which strong patent rights could build up barriers to follow-up research and thus hinder technological advance. This poses a number of difficulties particularly in the area of genetics with respect to the scope of protection and the definition of what is patentable. This article considers the problems of ‘anti-commons’, limitations for upstream inventions, patent thickets and royalty stacking with licenses for genetic inventions. A survey of 53 biotechnology companies in Switzerland builds the empirical basis of the investigation. The survey results confirm that the concepts of ‘anti-commons’, ‘patent thickets’ and ‘royalty stacking’ are indeed relevant. However, they are not highly relevant for the Swiss biotechnology industry from an economic point of view. A broad research exemption combined with a protection limited to concrete disclosure functions of DNA patents and compulsory licensing arrangements are considered as feasible remedies for overcoming certain difficulties with gene patents.     

On typical characteristics of economic time series and the relative qualities of five autocorrelation tests

In an article by L'Esperance and Taylor (1975) some tests against autocorrelation in the linear model are compared by considering their powers in a number of cases. The conclusions are wrong because of two facts: the cases to which the tests were applied are irrelevant and some of the calculations are incorrect. In the present article the relevant field of application is analyzed and correct power calculations are carried out, leading to quite different conclusions.     

INSTITUTIONALISED JUSTIFICATION OF CORPORATE ACTION: INTERNATIONALISATION AND THE EU IN CORPORATE REPORTS

This paper provides an institutional analysis of the way a set of Finnish firms have used the concept of internationalisation and the EU in justifying major strategic decisions. They have used internationalisation, and in particular the then new possibility of Finland joining the EU, as an argument in support of radical change. An analysis of their annual reports reveals a number of institutional arguments which are strong because they are generally accepted, a priori, as being important not only to firms but indeed to Finland as a whole. In using institutional arguments firms are aligning their own interests with those of the country, and in so doing are able to justify radical changes in most parts of their own organisations. We are not claiming that Finnish firms should not react to the challenges which EU represents. Rather, we suggest that by using institutional arguments they are borrowing legitimacy from a wider public. The arguments used are typically very broad, invoking very general visions of the role of Finland in the EU. We call these arguments “easy rides” because, even if they are only partially explicated, it is generally assumed that they will become accepted without questioning by public and employees alike. Certain specific patterns of “easy rides” can be distinguished: i) The mobilisation of a “national mission”, ii) “Sacrifice now, reap the benefit later”, and iii) “Bigger is better”. The paper concludes with a methodological discussion about the difficulty of distinguishing between the technical/functional and the institutional arguments.     

Short interval forecasting of emergency phone call (911) work loads

There has been an increasing emphasis over the last 5 to 10 years to improve productivity in the Service Sector of the U.S. economy. Much of the improvement obtained by these managers has come about through better scheduling of the work force in these organizations. Effective scheduling of this personnel requires good estimates of demand, which may exhibit substantial variations between days for certain times of the year. The Indianapolis Police Department (IPD) Communications area is one such organization that exhibits varying workloads and is interested in improving staff scheduling of dispatch operators.This article explores the use of six different forecasting techniques for predicting daily emergency call workloads for the IPD's communications area. Historical call volume data are used to estimate the model parameters. A hold-out sample of five months compares forecasts and actual daily call levels. The forecast system utilizes a rolling horizon approach, where daily forecasts are made for the coming month from the end of the prior month. The forecast origin is then advanced to the end of the month, where the current month's actual call data are added to the historical database, new parameters are estimated, and then the next month's daily estimates are generated. Error measures of residual standard deviation, mean absolute percent error, and bias are used to measure performance. Statistical analyses are conducted to evaluate if significant differences in performance are present among the six models.The research presented in this article indicates that there are clearly significant differences in performance for the six models analyzed. These models were tailored to the specific structure and this work suggests that the short interval forecasting problems faced by many service organizations has several structural differences compared to the typical manufacturing firm in a made-to-stock environment. The results also suggests two other points. First, simple modeling approaches can perform well in complex environments that are present in many service organizations. Second, special tailoring of the forecasting model is necessary for many service firms. Historical data patterns for these organizations tend to be more complex than just trend and seasonal elements, which are normally tracked in smoothing models. These are important conclusions for both managers of operating systems and staff analysts supporting these operating systems. The design of an appropriate forecasting system to support effective staff planning must consider the nature, scope, and complexity of these environments.     

Bayesian analysis of dichotomous quantal response models

Qualitative response models (QRM's) are analyzed from the Bayesian point of view, using diffuse and informative prior distributions. Exact finite-sample Bayesian and large-sample Bayesian and non-Bayesian estimation results are compared. In addition, the paper provides: (1) plots and discussion of the properties of likelihood functions for QRM's, (2) posterior distributions for logit models' derivatives and elasticities, (3) Bayesian prediction procedures for QRM's, (4) new estimates for the median and other fractiles of the logistic distribution, (5) posterior odds ratios for model selection problems, and (6) comparisons of two alternative Monte Carlo numerical integration procedures. It is concluded that asymptotic approximations are not accurate for small-to moderate-sized samples even when only a single input variable is used, and that operational Bayesian methods are available for providing both exact small-sample and large-sample approximate inferences for DRM's.     

Rehabilitation decisions in rental housing: An empirical analysis

Housing policy-makers show increased interest in encouraging rehabilitation of the existing housing stock. But little is known about what factors influence the decision to invest, particularly in rental housing, making policy design difficult. This paper presents an empirical analysis of individual landlords' housing rehabilitation decisions in one housing market. The analysis tests hypotheses about the impacts of detailed neighborhood, structure, and site characteristics on each owner's investment activity. Findings support the general hypothesis that economic returns to investment have a major effect on rehabilitation decisions, identify some other important circumstances, and suggest which among many specific policy levers should be effective.     

Explaining productivity differences in North Carolina factories

Using detailed survey data collected from 95 large factories in North Carolina, this article examines the reasons why some factories are more productive than others. Six distinct measures of productivity are used as independent variables in the regression analyses reported. The results suggest five major themes that are shared by the most productive plants: simpler flow of materials through the process, valuing people, attending to quality, investing in hardware, and accounting for the industry's productivity growth. Several factors such as size and unionization are of no apparent importance to an explanation of cross-factory productivity differences.