Instructional Manipulation Checks: A longitudinal analysis with implications for MTurk

Instructional Manipulation Checks (IMCs) assess respondent behavior by, for example, asking participants not to answer a trick question. We find IMCs can be used to detect problematic response behavior in longitudinal surveys. This is important because a Latent Class Analysis based on IMC-failure in the two reported studies reveals that between 9% and 12% of respondents can be labelled Inattentive Stayers at the first survey-wave and between 13% and 17% at the third wave. The tendency of Inattentive Stayers to remain in the panel is particularly relevant for online panel services such as MTurk, with workers participating in many surveys over longer time-periods. We find IMC-failure to be mitigated by a warning to respondents that their attention will be checked early in the survey, but not by repeated exposure to IMCs, or a timer leaving questions on the screen longer. Respondent personality also plays a role in IMC-failure, which implies persistency of undesirable respondent behavior.     

Risk Preferences and Gender Differences in Union Membership in Late Nineteenth-Century Swedish Manufacturing

Women are generally seen as less inclined to join trade unions. This study matches firm–worker data from the Swedish cigar and printing industries around 1900 and examines information on men and women holding the same jobs; such data are rare but important for understanding gender gaps. The results explain the gender gap in union membership among compositors, but not among cigar workers. Differences in union membership varied considerably across firms, with the largest differences found in low-union-density cigar firms where indirect costs (that is, uncertainty and risk) accrued in particular to women workers. The lack of gender differences in mutual aid membership indicates that women were not hard to organize but avoided organizations associated with greater risk for employer retaliation and uncertain returns according to a cost–benefit analysis.     

Contents of Volume 19

Volume Contents

Contents of Volume 19     

Introduction to Institutions,Entrepreneurship and Firm Growth: From Sweden to the OECD

Small Business Economics -     

Technology Sharing in Manufacturing Business Groups

Technology represents the primordial force for companies and organizations in securing long‐term competitiveness. In the intensive search to access new technology, organizations are more and more looking beyond the borders of the focal firm and becoming involved in various networks with suppliers, consultants, partners, and others. However, the distinction between the focal firm, on the one hand, and networks, on the other, is in this paper argued to be too extensive without intermediating nuances. Less focus is given to an in‐between perspective configured by business groups or concerns here defined as parent corporations with subsidiary companies. It is this perspective of business groups with characteristics between individual firms and open networks that is of interest in this paper. The focus is on manufacturing business groups in which the companies will typically have individual as well as common technologies. The research aim is to develop a framework to be used as an analytical tool for understanding and organizing technology sharing in manufacturing business groups. The research approach was to study technology sharing in a natural setting combining multiple in‐depth sources of evidence in a clinical research setting. A prestudy identified key dimensions in classifying cases leading to four clusters of typified cases. Data were gathered from meetings with 24 managers from various research and development (R&D) units who met regularly every other week during seven months, in‐depth interviews, internal documents and protocols, and workshops. Following the clinical field‐study approach, findings are theoretically validated in relation to literature. The analysis identifies and depicts four different types of technology‐sharing scenarios in manufacturing business groups. Each type has particular characteristics of its own. The four scenarios together provide a synthesized portfolio with different types of dimensions. A first dimension makes a distinction between sharing new technology development versus existing technology. Another distinguishes between technologies aimed at the whole business group and those aimed at specific segments. The two dimensions together comprise four different types of technology‐sharing alternatives. Each one of them can be used at the focal firm, and together, they are applicable from a business group perspective comprising technology‐sharing portfolios of manufacturing business groups.     

Truth claims and explanatory claims—An ontological typology of futures studies

Classifications of futures research are usually based on epistemological differences, but we complete these with ontological considerations. The article presents a typology of forecasts, i.e. statements on future events or states. It has two dimensions, truth claim and explanatory claim; each dimension has two values, making the claim or not making the claim. The four outcomes are: forecasts which make both truth claims and explanatory claims (predictions); forecasts which make truth claims, but not explanatory claims (prognoses); forecasts which make explanatory claims, but not truth claims (science fiction); and forecasts which make neither truth claims nor explanatory claims (utopias or dystopias). We regard each outcome as an ideal type, against which forecasts can be measured. We illustrate the use of the typology by presenting an example of each outcome.     

Foreign Firms and Chinese Employment

This paper examines the effect of foreign direct investment (FDI) on employment in the Chinese manufacturing sector. As one of the world's largest recipients of FDI, China has arguably benefited from foreign multinational enterprises in various respects. However, one of the main challenges for China, and other developing countries, is job creation, and the effect of FDI on employment is uncertain. The effect depends on the amount of jobs created within foreign firms as well as the effect of FDI on employment in domestic firms. We analyse FDI and employment in China using a large sample of manufacturing firms for the period 1998–2004. Our results show that FDI has positive effects on employment growth. The relatively high employment growth in foreign firms is associated with their firm characteristics and their high survival rate. Employment growth is also relatively high in private domestic Chinese firms. There also seems to be a positive indirect effect of FDI on employment in private domestically‐owned firms, presumably caused by spillovers.     

Mapping research on R&D,innovation and productivity: a study of an academic endeavour

ABSTRACT

This paper accounts for the development of the academic endeavour to determine the firm-level relationship between investments in R&D and productivity. The impact of 28 highly cited publications within this line of study is investigated using a combination of bibliometric techniques and citation function analysis. We show how the attention paid to this line of research broadens and deepens in parallel to the diffusion of innovation as a research theme during 2000s. Our findings also suggest that the attraction of scholarly attention is driven by combination of broadening interest in the central research question under study and boundary-pushing methodological contributions made in the key contributions.     

Editorial

Small Business Economics -     

Combining data and text mining techniques for analysing financial reports

There is a vast amount of financial information on companies' financial performance available to investors in electronic form today. While automatic analysis of financial figures is common, it has been difficult to extract meaning from the textual parts of financial reports automatically. The textual part of an annual report contains richer information than the financial ratios. In this paper, we combine data and text mining methods for analysing quantitative and qualitative data from financial reports, in order to see if the textual part of the report contains some indications about future financial performance. The quantitative analysis has been performed using self‐organizing maps, and the qualitative analysis using prototype‐matching text clustering. The analysis is performed on the quarterly reports of three leading companies in the telecommunications sector. Copyright © 2004 John Wiley & Sons, Ltd.