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Work environments are undergoing a transition and COVID-19 accelerated this change. Prior studies have associated various physical, digital and social work environment elements with occupational well-being. However, holistic approaches to the social work environment to compare the effects of the different elements have received less attention. The purpose of this study is to examine the relationship of various social work environment elements with hybrid worker well-being. The findings help organizations design their work environments and cultures for the post-COVID era.

The study builds on a quantitative survey with 1,057 respondents. The respondents were randomly selected, the answers were anonymous and the results were based on regression analysis.

The analysis indicated that working methods and practices, leadership and management practices, organizational communality and social interaction associate with hybrid worker well-being. Organizational values, reward systems and organizational structures yield no association with hybrid worker well-being.

The value of this paper is in that it investigates elements of the social work environment, presents a research model that examines the relationship of social work environment elements with hybrid worker well-being and provides new empirical data on their implications in a comparative manner.

Work environments are undergoing a transformation where organizations have various spatial solutions at their disposal. However, organizations may have challenges in making the right decisions in a work environment change, when the spatial solution is only one dimension of the work environment. The purpose of this paper is to approach this problem in a holistic way and explain the relationship between work environment changes and the development of organizational performance in the activity-based work (ABW) environment.

The results are based on an extensive quantitative survey involving 471 participants. The survey was theory driven and built on former literature. The participants were randomly collected from the largest cities in Finland, and the data were analyzed with a regression analysis.

The results showed that ABW environments require no more attention to the different work environment dimensions when compared to other office types, with the exception of the social work environment; the changes of which have a relatively strong relationship with the development of organizational well-being. In the ABW environment, a change in the physical work environment has a stronger relationship with the development of organizational productivity and a change in the social work environment has a stronger relationship with the development of organizational well-being than a change in the other work environment dimensions.

This study yields empirical evidence of the relationship of physical, digital and social work environment changes with the development of organizational performance in the ABW environment. The value of this paper is that it offers a simple but holistic research model to distinguish the outcomes between the different work environment dimensions so that relevant expertise is applied to take concrete and targeted action.

It is the rage in the literature today for archivists and records managers to address the issue of recordkeeping in The New Millennium. It is an idea that must be worthy of its own acronym, TNM. It has a nice, seductive ring to it that gives one the sense of joining the ranks of the pundits and visionaries. This author has succumbed like all of the others. And I know I'll do it again — soon. I can't wait. At my age, when one begins to get the idea that it might be the last chance one will have to talk about a TNM, it is downright irresistible. One has to bleed it for all it is worth.

Many practitioners strive to increase the efficiency of their product development. In addition, smaller companies must satisfy customers’ expectations of their product development. These expectations can be e.g. use of specific methodologies such as Lean Product Development (LPD) and/or Design for Six Sigma (DFSS). This study attempts to identify differences and similarities between these methodologies and the connection between them. This comparison is of interest to practitioners that must choose a strategy for their product development as well as to researchers. The aim of both methodologies is to reduce waste and time of development and to raise the quality of a product at the very roots of the product: its development. LPD and DFSS help development managers to structure projects and focus as much as possible on customer expectations and satisfaction.

This paper examines a nonparametric CUSUM-type test for common trends in large panel data sets with individual fixed effects. We consider, as in Zhang, Su, and Phillips (2012), a partial linear regression model with unknown functional form for the trend component, although our test does not involve local smoothings. This conveniently forgoes the need to choose a bandwidth parameter, which due to a lack of a clear and sensible information criteria is difficult for testing purposes. We are able to do so after making use that the number of individuals increases with no limit. After removing the parametric component of the model, when the errors are homoscedastic, our test statistic converges to a Gaussian process whose critical values are easily tabulated. We also examine the consequences of having heteroscedasticity as well as discussing the problem of how to compute valid critical values due to the very complicated covariance structure of the limiting process. Finally, we present a small Monte Carlo experiment to shed some light on the finite sample performance of the test.

This paper studies test of hypotheses for the slope parameter in a linear time trend panel data model with serially correlated error component disturbances. We propose a test statistic that uses a bias corrected estimator of the serial correlation parameter. The proposed test statistic which is based on the corresponding fixed effects feasible generalized least squares (FE-FGLS) estimator of the slope parameter has the standard normal limiting distribution which is valid whether the remainder error is I(0) or I(1). This performs well in Monte Carlo experiments and is recommended.

The history and divestiture of the Bell System is of immediate importance to several economies around the globe, especially those undergoing the change from state owned operations to private ownership. Similarly, those economies experiencing rapid expansion of telecommunications can also learn from the experiences of AT&T's development, maturity, and subsequent divestiture. In addition to a brief history, this study examines preliminary empirical evidence which suggests agency costs, particularly those associated with free cash flow, were reduced following the divestiture.

This paper considers stationary regression models with near-collinear regressors. Limit theory is developed for regression estimates and test statistics in cases where the signal matrix is nearly singular in finite samples and is asymptotically degenerate. Examples include models that involve evaporating trends in the regressors that arise in conditions such as growth convergence. Structural equation models are also considered and limit theory is derived for the corresponding instrumental variable (IV) estimator, Wald test statistic, and overidentification test when the regressors are endogenous. It is shown that near-singular designs of the type considered here are not completely fatal to least squares inference, but do inevitably involve size distortion except in special Gaussian cases. In the endogenous case, IV estimation is inconsistent and both the block Wald test and Sargan overidentification test are conservative, biasing these tests in favor of the null.

The purpose of this paper is to propose a “parachuting internationalization” metaphor as an alternative strategy that firms may choose to enter foreign markets compared to Uppsala Model and Born Global Model. This proposed new metaphor seeks to integrate the Uppsala and the Born Global Models to show that firms can attain success in the age of globalization if they are adept at devising creative strategies that help them overcome the challenges in a psychically distant environment.

This is a research paper that develops theoretical perspectives inspired by the Yin Yang thinking as well as the “thick descriptive” multiple case studies.

“Parachuting internationalization” embraces essential elements of the Born Global and the Uppsala Models and refers to a firm’s strategic targeting of markets with great potentials, correct positioning, swift actions, and fast learning, thus enabling the firm to circumvent the conventional wisdom of liability of foreignness, cultural distance, and psychic distance. “Parachuting internationalization” is essentially a GLOCAL approach which can be implemented in practice in terms of global vision, location, opportunity, capital, accelerated cultural learning and quick action, and logistics.

The “parachuting internationalization” metaphor is derived from interviews with four Scandinavian firms’ experiences that have entered into the Chinese market. This research reveals that two seemingly opposite approaches, i.e., the Born Global and the Uppsala Models, can be fruitfully combined and reconciled to generate a third novel approach.

To date, there has been little attempt to reconcile and/or integrate the Born Global and the Uppsala Models of internationalization. The paper enriches the ongoing debate on the internationalization of firms in the international business literature that has relied primarily on the Uppsala Model or Born Global Model. The study shows that a third way, i.e. the “parachuting internationalization” is both theoretically innovative and practically feasible.