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Service matching is defined in this paper as the process of combining a new service with one or more existing services. A recurring problem for service designer is to match new services with existing ones. This process may be seen as the fundamental action for the development of a service network. The purpose of this paper is to evaluate the consequences that may follow from service matching.

Through an analogy with living organisms in natural ecosystems, the service relationship deployment (SRD) allows the investigation of the possible relationships between matched services.

This paper presents a new method, named SRD, developed to support the process of service matching in the early design phases of a new service. The description of the method is supported by some practical examples.

The focus of the scientific community on the problem of matching new services with existing ones, is very limited. This paper proposes a new methodology to address this issue.

The purpose of this paper is to explore the matching relationship between factor endowment and industrial structure, and its impact on economic growth.

The assortative matching method is developed to quantitatively measure the matching between factor endowment and industrial structure. A series of empirical tests are then carried out to evaluate the impact on the economic development of the matching.

1) The matching between factor endowment and industrial structure has a significantly positive impact on economic growth. (2) Economic growth reaches its maximum when the gap between the two sectors narrows to zero. (3) This effect is particularly significant for countries with higher GDP per capita and GNI per capita. (4) The results remain robust after employing a series of tests.

Aggressive industrial policies are not desirable. The optimal industrial structure is the one that complied with the comparative advantage of the given factor endowment in the economy.

So far, there has been a significant lack of an applicable quantitative indicator for measuring the matching between factor endowment and industrial structure, which is essential for conducting empirical tests and providing evidence for related economic theories.

Ontologies are prone to wide semantic variability due to subjective points of view of their composers. The purpose of this paper is to propose a new approach for maximal unification of diverse ontologies for controversial domains by their relations.

Effective matching or unification of multiple ontologies for a specific domain is crucial for the success of many semantic web applications, such as semantic information retrieval and organization, document tagging, summarization and search. To this end, numerous automatic and semi-automatic techniques were proposed in the past decade that attempt to identify similar entities, mostly classes, in diverse ontologies for similar domains. Apparently, matching individual entities cannot result in full integration of ontologies’ semantics without matching their inter-relations with all other-related classes (and instances). However, semantic matching of ontological relations still constitutes a major research challenge. Therefore, in this paper the authors propose a new paradigm for assessment of maximal possible matching and unification of ontological relations. To this end, several unification rules for ontological relations were devised based on ontological reference rules, and lexical and textual entailment. These rules were semi-automatically implemented to extend a given ontology with semantically matching relations from another ontology for a similar domain. Then, the ontologies were unified through these similar pairs of relations. The authors observe that these rules can be also facilitated to reveal the contradictory relations in different ontologies.

To assess the feasibility of the approach two experiments were conducted with different sets of multiple personal ontologies on controversial domains constructed by trained subjects. The results for about 50 distinct ontology pairs demonstrate a good potential of the methodology for increasing inter-ontology agreement. Furthermore, the authors show that the presented methodology can lead to a complete unification of multiple semantically heterogeneous ontologies.

This is a conceptual study that presents a new approach for semantic unification of ontologies by a devised set of rules along with the initial experimental evidence of its feasibility and effectiveness. However, this methodology has to be fully automatically implemented and tested on a larger dataset in future research.

This result has implication for semantic search, since a richer ontology, comprised of multiple aspects and viewpoints of the domain of knowledge, enhances discoverability and improves search results.

To the best of the knowledge, this is the first study to examine and assess the maximal level of semantic relation-based ontology unification.

This paper aims to investigate the law and logic mechanism of management control matching pattern and company strategy aggressiveness under different strategies by textual analysis, based on the empirical data of Chinese A-share listed companies during the period from 2010 to 2018. Additional analyses further investigate the moderating effect of environmental uncertainty and R&D intensity on the relationship between management control matching type and strategy aggressiveness. The conclusion can help relevant departments to develop management control theory and method system with Chinese characteristics and provide theoretical reference for the matching mode of dual control.

This paper uses the text analysis method. The main explanatory variables are analyzed using the computer SQL Server database software through the relevant text of the board of directors report in the company annual report. Other financial data came from the CSMAR database, excluding ST and PT and companies with missing data, and 16,902 samples were finally obtained. This paper conducted statistical analysis through Stata12.

This paper shows that the matching pattern between formal and informal control is divided into three types. They have different impacts on strategy aggressiveness. Specifically, consistent matching type II significantly positively influences the aggressiveness of offensive strategy. Consistent matching type I significantly positively influences the aggressiveness of defensive strategy. Complementary matching type I significantly positively influences the aggressiveness of analytical strategy. Additional analyses find that compared with non-high-tech companies, high-tech companies have more significant influence on the relationship between management control matching pattern and company strategic aggressiveness. And compared with other two “strategy-control” matching patterns, both environmental uncertainty and product innovation have more significant influence on the relationship between consistent matching II and offensive strategy aggressiveness.

To the best of the authors’ knowledge, this paper divides the formal and informal control matching patterns of management control into three categories for the first time. It examines the relationship between the formal and informal control matching of management accounting and the degree of strategy aggressiveness. The conclusion provides new empirical evidence to promote the effective implementation of development strategies for companies. It can help relevant departments to develop management control theory and method systems with Chinese characteristics and provide theoretical references for the matching mode of dual control.

Identifies how western companies make successful entries in East European transition economies by studying the establishment process of Nordic companies in the Baltic States. Applies a model based on the network approach and the concept of matching and analyses the entry process of three Norwegian case companies. At global and macro levels the entry was facilitated by assistance for economic restructuring from international institutions and the Nordic governments, and by building up good relationships with central and local authorities. In the final establishment phase difficulties occurred in establishing trust and relationships with actors at the micro level and in matching company functions. Finds that market entry in transition economies differs from entry into traditional developing countries, where more problems are faced at the beginning of the establishment process, whereas, appropriate matching activities undertaken at different levels can facilitate the entry into transition economies.

This paper aims to employ a conceptual model to examine the relationship processes and mediating role of client‐coach relationship between client‐coach match criteria and coaching outcomes to advance the understanding of client‐coach relationship's impact on leadership coaching.

Data collected from 74 client‐coach pairs participating in a voluntary leadership coaching program at a military service academy during pre‐partnering and post‐transition phases were analyzed to examine the impact of match criteria and client‐coach relationship processes on coaching outcomes.

Consistent with the conceptual framework, relationship processes of rapport, trust, and commitment positively predicted coaching program outcomes, including client and coach reactions, behavioral change, and coaching program results. The client‐coach relationship fully mediated two match criteria (compatibility and credibility) with coaching outcomes, suggesting that complementary managerial and learning styles and relevant job‐related credibility support the development of client‐coach relationships and therefore positively impact leadership coaching programs.

The generalizability of findings may be limited due to the population studied. Future research needs to examine relationship processes in the larger context of the coaching practice as well as formative and results‐level outcomes.

The research findings provide support and understanding of the impact of the client‐coach relationship on coaching and the understanding of factors influencing the relationship, which allows the development of selection tools to better match clients with coaches, increasing the quality of the relationship and ultimately the coaching outcomes.

The study represents one of the first attempts to symmetrically examine client‐coach relationships and highlights the value of the conceptual framework for conducting client‐coach relationship research.

Ontologies are used to formally describe the concepts within a domain in a machine-understandable way. Matching of heterogeneous ontologies is often essential for many applications like semantic annotation, query answering or ontology integration. Some ontologies may include a large number of entities which make the ontology matching process very complex in terms of the search space and execution time requirements. The purpose of this paper is to present a technique for finding degree of similarity between ontologies that trims down the search space by eliminating the ontology concepts that have less likelihood of being matched.

Algorithms are written for finding key concepts, concept matching and relationship matching. WordNet is used for solving synonym problems during the matching process. The technique is evaluated using the reference alignments between ontologies from ontology alignment evaluation initiative benchmark in terms of degree of similarity, Pearson’s correlation coefficient and IR measures precision, recall and F-measure.

Positive correlation between the degree of similarity and degree of similarity (reference alignment) and computed values of precision, recall and F-measure showed that if only key concepts of ontologies are compared, a time and search space efficient ontology matching system can be developed.

On the basis of the present novel approach for ontology matching, it is concluded that using key concepts for ontology matching gives comparable results in reduced time and space.

The purpose of this study is to understand the extent to which potential mentors and protégés agree that an informal mentoring relationship exists. Because these relationships are generally tacitly understood, either the mentor or protégé could perceive that there is a mentoring relationship when the other person does not agree. Whether gender affects this is also to be examined.

Individuals were asked to identify their mentoring partners. Each report of a partner was then compared to the partner's list to determine whether there was a match (i.e. both reported the relationship as an informal mentoring relationship) or a mismatch (i.e. where one partner reported the relationship as an informal mentoring relationship but the other did not). This pattern of matches and mismatches was then analyzed to determine level of matching and gender differences.

There is little agreement between mentoring partners: neither potential protégés nor potential mentors were very accurate at identifying reciprocal informal mentoring partners. However, gender was not found to be related to different levels of matching.

Previous work has not examined whether potential informal mentoring partners perceive the relationship in the same way. This has implications for employees who are depending upon their mentoring partners for support that may not be forthcoming because the partner does not view the relationship similarly. The findings also have implications for researchers, particularly when studying mentoring relationships from only one perspective and implicitly assuming agreement between partners.

The purpose of this paper is to propose a three-dimensional (3D) assembly model retrieval method based on assembling semantic information to address semantic mismatches, poor accuracy and low efficiency in existing 3D assembly model retrieval methods.

The paper proposes an assembly model retrieval method. First, assembly information retrieval is performed, and 3D models that conform to the design intention of the assembly are found by retrieving the code. On this basis, because there are conjugate subgraphs between attributed adjacency graphs (AAG) that have an assembly relationship, the assembly model geometric retrieval is translated into a problem of finding AAGs with a conjugate subgraph. Finally, the frequent subgraph mining method is used to retrieve AAGs with conjugate subgraphs.

The method improved the efficiency and accuracy of assembly model retrieval.

The examples illustrate the specific retrieval process and verify the feasibility and reasonability of the assembly model retrieval method in practical applications.

The assembly model retrieval method in the paper is an original method. Compared with other methods, good results were obtained.

This study assessed the intergenerational influence of family socialization, specifically, nurturant fathering – the affective quality fathers provide children through warmth and acceptance – to explore how individuals initially connect with a sports team to become team-loyal.

Data were collected via an online survey from respondents self-described as college football fans who selected their “Favorite NCAA Division I football team.” The 623 respondents subsequently selected their biological father's favorite team. An intergenerational “match” between father and child served as the dependent variable. Step-wise logistic regression assessed the relationship that team loyalty, nurturant fathering, and their interaction had on the intergenerational matching of a father's favorite team.

Team loyalty had a significant, positive relationship with an intergenerational match. A positive but weak direct relationship was found between nurturant fathering and a favorite-team match. However, nurturant fathering significantly moderated the relationship between team loyalty and intergenerational match. This suggests that the quality of a father-child relationship during the child's formative years can facilitate team loyalty to a team favored by the father.

The strength and quality of the relationship between a father and his children through nurturant fathering during their formative years can facilitate mutual team loyalty toward a college football team if not directly, then indirectly, through an interaction effect with a parent-socialized, team-loyal child.

College athletic teams, and sports properties in general, should address the bond between fathers and their children to take advantage of the intergenerational transference process identified in this study through targeted, family-focused sports marketing. More specifically, university athletic departments should engage in marketing efforts that encourage and solidify the mutual loyalty fathers and children may have to their father's favorite football team. The outcome would be a competitive advantage that leads to the cultivation of long-lasting fans from generation to generation.

College football teams and sports properties in general should engage in father-child marketing promotions to encourage and enhance the intergenerational influence of fathers on their children with respect to the father's favorite team. However, while building future team loyalty among the children, these marketing promotions and the resultant father-child game attendance concurrently reinforce the father-child relationship. This ideally leads to a virtuous cycle of parental bonding and team loyalty.

This study extends research in intergenerational influence in a sports setting by introducing the construct of Nurturant Fathering and its scale to the sports marketing literature. The results found that a nurturing father can facilitate the formation of a mutual team loyalty between a father and his child with regard to the father's favorite football team. Extant research has focused on the behavioral elements of loyalty (e.g. attendance and revenues). This study's focus was on the attitudinal aspects of team loyalty. It empirically identified, at least in part, how individuals initially connect with a sports team to become team-loyal.