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Large terminologies usually contain a mix of terms that are either generic or domain specific, which makes the use of the terminology itself a difficult task that may limit the positive effects of these systems. The purpose of this paper is to systematically evaluate the degree of domain specificity of the AGROVOC controlled vocabulary terms as a representative of a large terminology in the agricultural domain and discuss the generic/specific boundaries across its hierarchy.

A user-oriented study with domain-experts in conjunction with quantitative and systematic analysis. First an in-depth analysis of AGROVOC was carried out to make a proper selection of terms for the experiment. Then domain-experts were asked to classify the terms according to their domain specificity. An evaluation was conducted to analyse the domain-experts’ results. Finally, the resulting data set was automatically compared with the terms in SUMO, an upper ontology and MILO, a mid-level ontology; to analyse the coincidences.

Results show the existence of a high number of generic terms. The motivation for several of the unclear cases is also depicted. The automatic evaluation showed that there is not a direct way to assess the specificity degree of a term by using SUMO and MILO ontologies, however, it provided additional validation of the results gathered from the domain-experts.

The “domain-analysis” concept has long been discussed and it could be addressed from different perspectives. A resume of these perspectives and an explanation of the approach followed in this experiment is included in the background section.

The authors propose an approach to identify the domain specificity of terms in large domain-specific terminologies and a criterion to measure the overall domain specificity of a knowledge organisation system, based on domain-experts analysis. The authors also provide a first insight about using automated measures to determine the degree to which a given term can be considered domain specific. The resulting data set from the domain-experts’ evaluation can be reused as a gold standard for further research about these automatic measures.

The exhaustivity of document descriptions and the specificity of index terms are usually regarded as independent. It is suggested that specificity should be interpreted statistically, as a function of term use rather than of term meaning. The effects on retrieval of variations in term specificity are examined, experiments with three test collections showing in particular that frequently‐occurring terms are required for good overall performance. It is argued that terms should be weighted according to collection frequency, so that matches on less frequent, more specific, terms are of greater value than matches on frequent terms. Results for the test collections show that considerable improvements in performance are obtained with this very simple procedure.

While anecdotal evidence suggests that performance-based contracts (PBCs) may foster innovation in buyer-supplier relationships, the understanding of the underlying mechanisms is limited to date. The purpose of this paper is to draw on transaction cost economics and agency theory to develop a theoretical model that explains how PBCs may lead to innovation.

Using data on 106 inter-organizational relationships from the Dutch maintenance industry, the authors investigate how the two main features of PBCs – low-term specificity and performance-based rewards – affect incremental and radical innovation.

The authors find that term specificity has an inverse-U-shaped effect on incremental innovation and a non-significant negative effect on radical innovation. Furthermore, pay-for-performance has a stronger positive effect on radical innovation than on incremental innovation. The findings suggest that in pursuit of incremental innovation, organizations should draft contracts with low, but not too low, term specificity and incorporate performance-based rewards. Radical innovation may be achieved by rewarding suppliers for their performance only.

The findings suggest that in pursuit of incremental innovation, organizations should draft contracts with low, but not too low, term specificity and incorporate performance-based rewards. Radical innovation requires rewarding suppliers for their performance only.

The exhaustivity of document descriptions and the specificity of index terms are usually regarded as independent. It is suggested that specificity should be interpreted statistically, as a function of term use rather than of term meaning. The effects on retrieval of variations in term specificity are examined, experiments with three test collections showing, in particular, that frequently‐occurring terms are required for good overall performance. It is argued that terms should be weighted according to collection frequency, so that matches on less frequent, more specific, terms are of greater value than matches on frequent terms. Results for the test collections show that considerable improvements in performance are obtained with this very simple procedure.

Integrating transaction costs economics and task-technology fit theory, this study distinguishes two categories of social media–enabled interactions, namely task-related interactions and tie-related interactions, and explores the match between these two and firms' use of contracts in achieving safeguarding and coordinating purposes in interfirm governance.

Two studies were conducted to test the hypotheses. In Study 1, this study collaborated with a professional market research firm and collected responses from Chinese manufacturing firms in a survey. In Study 2, this study designed a scenario-based experiment and collected 239 participants from the Credamo platform.

This study categorized social media–enabled interactions into task-related interactions and tie-related interactions and conducted two studies to reveal that the safeguarding purpose of contract specificity is amplified by tie-related interactions, whereas the coordinating purpose of contract specificity is strengthened by task-related interactions.

This study assumes that firms permit and encourage the use of social media. However, some firms might prohibit the use of social media due to risk issues, or their partners may be prohibited from using social media.

Given that social media–enabled interactions have joint effects with contracts in achieving safeguarding and coordinating purposes, a firm's employees should match their goals with an appropriate type of social media–enabled interactions.

This study enriches the interfirm governance literature by uncovering the roles of these two types of interactions in matching contract specificity to achieve safeguarding and coordinating purposes, which provides actionable insights for managers in governing interfirm relationships.

The concept of the ‘specificity’ of the terms used in an information retrieval system has come up several times in the last few years. In fact, there are two different concepts which have been described by this term. It is perhaps helpful to distinguish between them.

The evaluation of information retrieval systems has recently become an important matter. In the past, however, most reports or proposals on this type of work appear largely to have ignored the efficiency of operation of the central core of an IR system, namely those operations concerned in the compilation and use of the index. The only aspects to receive consideration are the physical form of the index and the design of thesauri or classifications. The former activity has been slanted towards the use of computers and has tended to assume that this type of equipment will, ipso facto, give an improved performance but has made no attempt to justify cost factors which may be one hundred times that of conventional techniques. Work on thesauri and classifications, where it has been practical in nature, appears to consist of compiling lists of terms which go out of favour as quickly as any list of subject headings in the past; the more popular theoretical approach is the setting up of models or the use of increasingly abstruse and complex algebras. From the results and conclusions of the experimental work at Cranfield, it would seem that many of these investigations are comparatively trivial.

This study was designed to offer empirical evidence about the significant impacts of supplier opportunism and relational stability upon restaurant performance. This study aims to investigate the extent to which competence and goodwill trust interact with contract specificity in mitigating supplier opportunism and improving relational stability.

This study obtained a data set using 324 account executives representing a US restaurant product supplier. These same account executives were also contacted to obtain data from general managers of their largest restaurant accounts. Structural equation modeling was used to assess the hypothesized relationships. Additionally, a two-step hierarchical regression analysis was used to test how contract specificity and trust interact upon supplier opportunism and relational stability.

Results revealed that contract specificity, competence and goodwill trust significantly reduced supplier opportunism and improved relational stability, which positively affected restaurant performance. Additionally, the interaction between contract specificity and goodwill trust significantly reduced the level of supplier opportunism, supporting the complementary role of goodwill trust for contract specificity. When goodwill trust interacted with contract specificity, it was found to significantly improve relational stability.

These results offer empirical evidence pertaining to the significant impacts of supplier opportunism and relational stability upon restaurant performance. Findings can be used to develop effective governance strategies to manage restaurant-supplier transactions.

Although the interaction between contract specificity and trust with respect to decreasing supplier opportunism and promoting relational stability has been a subject of debate in the supply chain management research literature, to date, no relevant research addressing this topic exists within the context of restaurant management. In this study, trust was particularly assessed based upon its two distinct roles (competence and goodwill) involving their interaction with contract specificity upon supplier opportunism and relational stability. The findings regarding those different roles of the two types of trust provide new insights into the existing knowledge about the use of both formal and informal governance specific to the restaurant industry.

This paper describes part of the Chemical Abstracts Condensate Evaluation (CAC Evaluation) carried out by the United Kingdom Chemical Information Service (UKCIS).

This study aims to test the effects of forecast specificity on the asymmetric short‐window share market response to management earnings forecasts (MEF).

The paper examines a large sample of hand‐checked Australian data over the period 1994 to 2001. Using an analyst news benchmark, it estimates a series of regressions to investigate whether the short‐term impact from bad news announcements is greater in magnitude than from good news announcements and whether this differs between routine and non‐routine MEFs. Additionally, it examines whether (after controlling for news content of MEF) there is a differential market impact conditional on specificity: minimum versus maximum versus range versus point.

The results indicate that an asymmetric response is evident for the overall sample and a sub‐set of non‐routine forecasts. Contrary to predictions, the results show that forecast specificity, minimum, maximum, range and point MEFs make no additional contribution to the differences in the market reaction to bad or good news.

The study extends the research investigating the short‐run market impact of MEFs. The main element of innovation derives from the interaction between specificity and news content, as well as distinguishing between routine versus non‐routine cases. Notably, it found little support for the view that more specific forecasts elicit greater market responses. What the results do suggest is that managers appear to choose the form of the forecast to suit the news being delivered. In particular, bad news delivered in a minimum forecast seems to be ignored by the market.