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Drawing on transaction cost economics (TCE) theory and organizational information processing theory (OIPT), this study investigates how the alignments between the characteristics of service (i.e. task complexity and measurement ambiguity) and governance mechanisms (i.e. contract specificity and monitoring) can affect service performance.

The paper uses a rigorously designed survey to collect data from professionals who manage service outsourcing contracts in various industries. The respondent pool consists of randomly selected members of the Institute of Supply Management (ISM). The authors’ research question is analyzed using 261 completed and useable responses. Structural equation modeling is adopted to examine the data and test the proposed hypotheses.

The authors find that both contract specificity and monitoring have a positive impact on supplier performance. Further, for high task complexity services, contract specificity is more effective than monitoring, and for high measurement ambiguity services, the opposite is true. Moreover, the effect of contract specificity is mediated by monitoring.

Service outsourcers should use both contract specificity and monitoring in governing outsourced services and know that the former depends on the latter during execution. Facing resource constraints, they can prioritize crafting detailed contract provisions over implementing monitoring for highly complex services but consider monitoring as the primary governance tool in services whose outcomes are difficult to measure.

This study is the first to couple TCE with OPIT and consider the nature of outsourced services in the choice of governance mechanisms and empirically test the simultaneous effects of contract specificity and monitoring in the context of service outsourcing.

This paper explores how companies can improve consumer attitudes towards corporate social responsibility (CSR) messages and companies by designing the content of the message, which should provide specific information and improve social topic awareness among consumers. The paper also explores the mediating role of message authenticity between the CSR message content and consumer attitudes towards the information and the company.

302 participants evaluated the website of a fictitious company that included information about its CSR activities. The authors collected data through a questionnaire of Likert-type and dichotomous scales and contrasted the hypotheses with a causal model, analysing the relationships among variables through structural equation modelling (SEM) with the software EQS 6.1.

The findings suggest that information specificity and social topic awareness improve consumer perceptions of message authenticity. The findings also show that message authenticity improves consumer trust and attitudes towards the information and the company. Attitude towards the information, message authenticity and social topic awareness show the largest impacts on trust and attitude towards the company, while information specificity also has a positive although smaller effect.

Integrating information specificity and social topic awareness within the conceptual model presented in this paper, based on the heuristic-systematic model (HSM) and attribution theory, allows researchers and practitioners to close the gap between companies' CSR activities and consumers' perceptions, attitudes and behaviours.

The purpose of this paper is to specify user‐defined relevance criteria by which people select hyperlinks and pages in web searching.

A quantitative and qualitative analysis was undertaken of talking aloud data from nine web searches conducted about self‐generated topics.

Altogether 18 different criteria for selecting hyperlinks and web pages were found. The selection is constituted, by two, intertwined processes: the relevance judgment of hyperlinks, and web pages by user‐defined criteria, and decision‐making concerning the acceptance or rejection of hyperlinks and web pages. The study focuses on the former process. Of the individual criteria, specificity, topicality, familiarity, and variety were used most frequently in relevance judgments. The study shows that despite the high number of individual criteria used in the judgments, a few criteria such as specificity and topicality tend to dominate. Searchers were less critical in the judgment of hyperlinks than deciding whether the activated web pages should be consulted in more detail.

The study is exploratory, drawing on a relatively low number of case searches.

The paper gives a detailed picture of the criteria used in the relevance judgments of hyperlinks and web pages. The study also discusses the specific nature of criteria used in web searching, as compared to those used in traditional online searching environments.

The purpose of this paper is to investigate how warehouse management, understood as a cluster of planning and control decisions and procedures, is organized and driven by task complexity (TC) and market dynamics (MD).

A multi‐variable conceptual model is developed based on the literature and tested among 215 warehouses using a survey.

The results suggest that TC and MD are the main drivers of warehouse management, measured by planning extensiveness (PE), decision rules complexity, and control sophistication. Differences between production and distribution warehouses are found with respect to the relationship between assortment changes and PE. Furthermore, TC appears to be a main driver of the specificity of the warehouse management (information) system (WMS).

This paper is based on 215 warehouses in The Netherlands and Flanders (Belgium); future research may test the model on a different sample. More research should be conducted to further validate the measures of the core dimensions of warehouse management.

Different levels of TC and MD characterize warehouses. Such a characterization is a first step in determining generic warehouse functionalities and helping managers to decide on the best software for their warehouse operations.

The paper defines the core dimensions of warehouse management, makes them measurable, tests them and assesses how these drivers impact specificity of WMS. The paper shows that PE in production warehouses is driven by different variables than in distribution centers.

Boundary decision is an important but underexplored theme in digital platform research. The boundary decision of digital platform enterprises (DPEs) differs from traditional organizations because of cross-side network effects (CNEs). This study intends to investigate whether transaction cost economics (TCE) and resource-based view (RBV), as classical organization boundary mechanisms, are still applicable for DPEs.

To unfold the research problem, this study conducts a fuzzy-set qualitative comparative analysis (fsQCA) on the samples of 21 platform business units.

The results show that the classical boundary decision theory still applies in the context of DPEs, but the cross-side network effects will affect boundary decision of DPEs.

This study provides a new framework – integrates TCE, RBV and CNEs – to analyze boundary decision of DPEs. This paper also contributes to research on both organization boundary decision and platform governance.

The purpose of this study is to unravel the mystery of Level of Development (LOD) as frequently referred to in Building Information Modelling (BIM) delivery documents. LOD is a key parameter for describing digital content in a BIM context. It is seen as an important vehicle for specifying information exchange throughout a facility’ life cycle. However, hitherto, there has been little research examining how, beyond the theoretical concept, LOD can be applied and smartly utilised in practice. This study seeks to unravel the concept and reveal new insights into its application from a design management perspective.

Following a literature and document review, two small-scale case projects were identified. The first was – to temper the state-of-the-art theory and understand what happens in practice today – discovery led. The second was – to drill down to the core of LOD utilisation to support planned model progression and test a plausible novel methodology to automate associated workflow – theory led.

Results suggest that a lack of consistent understanding and utilisation exists and particular LOD errors are highlighted, but, moreover, LOD can be so much more useful if integrated into a BIM-like workflow. Consequently, a new method of automatically comparing planned model progression with the current state of the model is presented.

Advancement of the understanding of the concept and application of LOD and its usefulness has significant implications for designing information management research.

Fresh insights into LOD, concept and application are presented. The emerging proposed utilisation framework is novel and targets removal of known labour-intensive activities associated with LOD matrices whilst facilitating rich reuse of efficient model progression knowledge.

The most commonly used segmentation approach to understand information acquisition behavior in the exporting context is to group individuals/firms on a variety of demographic and psychographic variables. This paper argues that while psychographic and demographic segmentation provide descriptive information about who are likely to engage in information search, they are insufficient to provide insights into why individuals search.

Drawing upon the applied psychology literature, an integrative framework using the key constructs of motivation and cognitive ability is developed that conceptualizes the influences of and outcomes from information acquisition.

By studying information acquisition within the context of the interactions between motivation and ability, normative insights can be gained on the likelihood of management's active participation in information search. The author develops a typology for the nature of information acquisition to explain the behaviors of user firms with respect to government‐sponsored export programs/services.

This paper attempts to make two contributions to the export behavior literature: by setting the stage for a more multi‐disciplinary analytical and deliberate approach to export information acquisition with respect to identifying relevant variables as antecedents to motivation and cognitive ability to search, and developing a conceptual framework for addressing their relationship to export performance; and advancing research propositions that facilitate empirical testing of these relationships in future research.

The purpose of this paper is to elaborate how source preference criteria are defined in the context of everyday projects that require the seeking of problem‐specific information. More specifically, to find out how information seekers explain their preference criteria by characterizing the perceived strengths and weaknesses of diverse sources.

The approach takes the form of qualitative content analysis of empirical data gathered by semi‐structured interviews with 16 prospective home buyers in 2008. The source preference criteria were elicited by making use of the construct of information source horizon.

Networked sources were favoured most strongly, followed by printed media, human sources and organizational sources. Content of information was the primary source preference criterion. Availability of information was a fairly important criterion, while user characteristics, usability of information and situational factors were fairly marginal in this regard. In the definition of the preference criteria, more emphasis was placed on the perceived strengths than weaknesses of sources. Positive qualities such as “provides updated information” were referred to particularly while judging the relevance of the networked sources. Negative qualities like “outdated information” were primarily associated with printed media and organizational sources.

The study is exploratory, drawing on a relatively small sample recruited through a web‐based service. Thus, the findings cannot be generalized to prospective home buyers.

Prospective home buyers tend to favour web‐based information sources and services. They should provide the customers with detailed information about the property, including photos.

The paper specifies the picture of user‐defined relevance judgment in the context of everyday life information seeking.

Recruiters’ decision to use recruitment methods (RMs) depends on several expected outcomes such as number applications, quality of applicants, speed of filling up vacancy, post joining job performance, absenteeism, commitment and satisfaction of the applicants. RMs may vary from each other in terms of its capability to communicate different type of information. The current research aims at exploring recruiter's intention to use RMs like job advertisement (JA), online recruitment (OLR) and social media in reference to several recruitment outcomes (ROs). Further, the role of information credibility and sufficiency (ICS) on recruiter's intention to use has been studied.

Data were collected from 242 recruiters from the manufacturing and service sector of India. The survey instrument consists of RMs, recruitment outcome and credibility and satisfaction that are identified following the theory of planned behavior (TPB). Confirmatory factor analysis (CFA) was used for a simultaneous assessment of overall and specific elements of measurement validity and reliability. Structural equation modeling (SEM) is used to test the hypothesized model.

The result shows that RMs significantly relates with ROs. In detail, social media recruitment (SMR) significantly relates with pre ROs and post ROs; OLR significantly relates with pre ROs and post ROs and JA significantly relates post ROs. Only JA insignificantly relates with pre ROs. The result also supports the hypothesis that ICS acts as a mediator between the influences of RMs on ROs.

The result of the study has important theoretical and managerial implications. The theoretical implication is explained from the perspective of signaling theory (ST) and elaboration likelihood model (ELM) theory.

The study is unique as multiple RMs have been studied with reference to both pre and post ROs using the data collected from the recruiters.

The length of stay (LoS) is of major importance from the perspective of the management of tourist destinations. As tourists heavily rely on the online reviews of other travelers as a primary information source, this study aims to empirically examine how the LoS can influence the online reviews for hotels, with special emphasis on the textual review content.

This study analyzes online review data collected from Booking.com by using the Linguistic Inquiry and Word Count program to operationalize review depth, analytical thinking and the authenticity reflected in customer reviews. Based on the analyzed data, this study used a series of regression analyses to understand the impacts of the LoS on online reviews.

The author’s analysis found that a longer stay at a hotel causes consumers to be more likely to post online reviews that not only include a numerical rating as well as written content but also lengthier and more detailed descriptions of their hotel experiences. Further analysis found that the LoS at hotels causes systematic differences in the linguistic attributes of the review content. Specifically, consumers who stay longer tend to write reviews with more analytical information, resulting in consumers perceiving the online reviews as more authentic.

Although the LoS has been considered a significant issue in tourism, studies examining the impact of different lengths of stay on consumers’ post-purchase behaviors are limited. In this light, the author’s findings demonstrate how the LoS can change the linguistic attributes of online reviews. It expands the body of knowledge of the LoS in tourism.

This study represents the first attempt to empirically examine and reveal how the different length of stay at a hotel systemically influences consumer review-posting behaviors.