Search results

The definition of modeling languages is a key‐prerequisite for model‐driven engineering. In this respect, Domain‐Specific Modeling Languages (DSMLs) defined from scratch in terms of metamodels and the extension of Unified Modeling Language (UML) by profiles are the proposed options. For interoperability reasons, however, the need arises to bridge modeling languages originally defined as DSMLs to UML. Therefore, the paper aims to propose a semi‐automatic approach for bridging DSMLs and UML by employing model‐driven techniques.

The paper discusses problems of the ad hoc integration of DSMLs and UML and from this discussion a systematic and semi‐automatic integration approach consisting of two phases is derived. In the first phase, the correspondences between the modeling concepts of the DSML and UML are defined manually. In the second phase, these correspondences are used for automatically producing UML profiles to represent the domain‐specific modeling concepts in UML and model transformations for transforming DSML models to UML models and vice versa. The paper presents the ideas within a case study for bridging ComputerAssociate's DSML of the AllFusion Gen CASE tool with IBM's Rational Software Modeler for UML.

The ad hoc definition of UML profiles and model transformations for achieving interoperability is typically a tedious and error‐prone task. By employing a semi‐automatic approach one gains several advantages. First, the integrator only has to deal with the correspondences between the DSML and UML on a conceptual level. Second, all repetitive integration tasks are automated by using model transformations. Third, well‐defined guidelines support the systematic and comprehensible integration.

The paper focuses on the integrating direction DSMLs to UML, but not on how to derive a DSML defined in terms of a metamodel from a UML profile.

Although, DSMLs defined as metamodels and UML profiles are frequently applied in practice, only few attempts have been made to provide interoperability between these two worlds. The contribution of this paper is to integrate the so far competing worlds of DSMLs and UML by proposing a semi‐automatic approach, which allows exchanging models between these two worlds without loss of information.

The purpose of this study was to examine the effects of organizational culture and human resource management (HRM) effectiveness on financial performance of a sample of Singapore‐based companies involved in mergers and acquisition activities.

The study used the method of content analysis to collect information on cultural values and HRM effectiveness, using Kabanoff's content analysis dictionary. Culture profiles were then assigned to organizations in the sample following the results from cluster analysis. Various financial ratios were used to measure organizational performance. Finally, regression analysis was performed to test various hypotheses.

The key finding of the study is that organizations with either elite or leader value profile, when complemented by human resource effectiveness, had a better financial performance as compared to organizations with meritocratic or collegial value profiles. It thus follows that, to achieve better financial results by undertaking merger and acquisition activities organizations need to have elite or leadership value profile.

This study makes a contribution to the literature by producing new empirical evidence to bear on the effect of organizational culture and human resource effectiveness on financial performance of merging acquiring organizations from a newly industrialized Asian country.

Consumer-to-consumer (C2C) electronic commerce (e-commerce) is shaping contemporary retailing. Despite the fact that a large amount of C2C e-commerce is conducted in social media-based platforms (e.g. Facebook), it has remained an unexplored area of research, though social media as a commercial platform can result in differing customer value and, thus, has potential for consumer experiences that lie beyond the reach of traditional C2C e-commerce actors. Consequently, the purpose of this paper is to identify and explore distinct consumer profiles of C2C e-commerce in social media.

Confirmatory factor analysis and cluster analysis are employed to analyze the data from a quantitative survey focusing on C2C e-commerce.

Four distinct consumer profiles are introduced and discussed: enthusiasts, bargain hunters, salvagers and apathetics. These profiles capture what kind of value consumers perceive in exchanging used goods with other consumers in Facebook.

The data were collected from one country. Cultural differences in how C2C e-commerce and the role of Facebook are perceived might influence the generalizability of the results. The data set was cross-sectional and based on self-reported data.

First, the study indicates that the social media can offer a unique platform for C2C e-commerce that may result in unique and differentiated consumption experiences. Second, firms should carefully analyze how their existing segments match the consumer profiles presented in this study (enthusiasts, bargain hunters, salvagers, apathetics) to assess future value creation potential and challenges. Third, traditional retailers should evaluate the possibility of acting as a platform for C2C commerce or other types of C2C interaction in order to offer their customers benefits that are characteristic for C2C e-commerce.

This study is among the first attempts to profile C2C e-commerce consumers in social media setting. Interestingly, the profiles differ not in terms of traditional consumer demographics, but on the basis of what kind of value they perceive. Altogether, they grant interesting empirical access to explore the potential and implications of social media-based C2C e-commerce.

In profile monitoring, which is a growing research area in the field of statistical process control, the relationship between response and explanatory variables is monitored over time. The purpose of this paper is to focus on the process capability analysis of linear profiles. Process capability indices give a quick indication of the capability of a manufacturing process.

In this paper, the proportion of the non‐conformance criteria is employed to estimate process capability index. The paper has considered the cases where specification limits is constant or is a function of explanatory variable X. Moreover, cases where both equal and random design schemes in profile data acquisition is required (as the explanatory variable) is considered. Profiles with the assumption of deterministic design points are usually used in the calibration applications. However, there are other applications where design points within a profile would be i.i.d. random variables from a given distribution.

Simulation studies using simple linear profile processes for both fixed and random explanatory variable with constant and functional specification limits are considered to assess the efficacy of the proposed method.

There are many cases in industries such as semiconductor industries where quality characteristics are in form of profiles. There is no method in the literature to analyze process capability for theses processes, however recently quite a few methods have been presented in monitoring profiles. Proposed methods provide a framework for quality engineers and production engineers to evaluate and analyze capability of the profile processes.

Starting from the premise that digital screens are pervading our everyday urban and social environments to serve a variety of purposes, the purpose of this paper is to show how screens can be made aware of what is happening around them and – based on specific strategies – adapt accordingly the advertisement flow to supply to users more engaging contents.

The paper presents an overview of future pervasive advertisement scenarios, and sketches the architecture and implementation of a system for adaptive context‐aware pervasive advertisement. Subsequently, with the help of a simulation environment, the paper evaluates the performances of several adaptive context‐aware advertisement strategies, and compares them against non‐adaptive ones.

The paper demonstrates that, in a wide range of conditions, an advertisement system based on adaptive context‐aware strategies leads to a gain in terms of commercial value with respect to traditional non‐adaptive strategies for advertisement broadcasting.

A system for pervasive advertisement could be easily brought to life, leading advertisement companies to a much more targeted exploitation of the screen resource and, eventually, to higher revenues.

Adaptive advertisement systems can offer notable commercial advantages over traditional advertisement systems even when visitors demonstrate poor collaboration towards the system.

This paper aims to examine the association between the perceived values of information (economic, hedonic, functional, psychological) and the actual use of social networking channels (Instagram/Facebook groups/SNS personal profiles or messaging) for seeking information on accommodations.

879 respondents aged 18–55, who travel abroad as individual tourists at least once a year and are responsible for their own accommodation choice, were surveyed.

The study shows that all the values of information are more likely to be provided through posting a question on one's profile/messaging options (i.e. friends and relatives), than through Facebook groups and Instagram. The multivariate findings show that different values are associated with different SNS channel choices for seeking information.

The study provides an innovative approach to the motivations behind the use of different SNS platforms for travel information search by consumers. It offers practical implications, suggesting how to provide the relevant content on each channel.

This paper aims to demonstrate the degree of dissimilarities among Chinese individuals' value profiles by using data collected from Shanghai and Hong Kong.

The shortened version of the Rokeach Value Survey for consumer research by Munson and McQuarrie was used. The data collection was done by distributing copies of questionnaires to researchers' contacts who worked at financial intuitions, e.g. banks, brokers and insurance agencies in Shanghai and Hong Kong.

The current study demonstrates the degree of dissimilarities among Chinese individuals' value profiles by using data collected from Shanghai and Hong Kong.

The study selects two developed cities of China only and the samples from the two cities are relatively small.

The results imply that value‐based information should be used together with demographic information for segmenting the market. The study suggests the number of segments for Shanghai and Hong Kong.

This study explains the significance of studying values in the context of market segmentation, particularly among Chinese populations.

This study of 429 United States pleasure visitors to Canada demonstrates that research based on personal values can be fruitfully applied to the segmentation of international tourism markets. The relative importance attached by a visitor to 16 attributes which describe the touristic attractiveness of a foreign city were used as clustering variables. Three major segments were found, with each segment possessing a unique personal‐value profile. These value profiles were meaningful and distinctive enough to offer the international tourism marketer actionable portraits on which to base product development and marketing communication strategies that match a segment′s personal‐value orientations.

Shukla et al. (2012) proposed a signature and index to detect and measure rogue seasonality in supply chains, but which, however, were not effectively validated. The authors have sought to investigate rogue seasonality using control theory and realistic multi echelon systems and rigorously validate these measures, so as to enable their application in practice. The paper aims to discuss these issues.

Frequency domain analysis of single echelon and simulated four echelon Beer game system outputs are used in the investigation, with the simulation incorporating realistic features such as non-linearities from backlogs and batching, hybrid make to order-make to stock ordering system and the shipment variable. Lead time, demand process parameters, ordering parameters and batch size are varied in the simulation to rigorously assess the validity of the index.

The signature based on the cluster profiles of variables, specifically whether the variables cluster together with or away from exogenous demand, was validated. However, a threshold for the proportion of variables that could be clustered with exogenous demand and the system still being classified as exhibiting rogue seasonality, would require to be specified. The index, which is derived by quantifying the cluster profile relationships, was found to be a valid and robust indicator of the intensity of rogue seasonality, and which did not need any adjustments of the kind discussed for the signature. The greater effectiveness of the frequency domain in comparison to time for deriving the signature and index was demonstrated.

This work enables speedy assessment of rogue seasonality in supply chains which in turn ensures appropriate and timely action to minimize its adverse consequences.

Detailed and specific investigation on rogue seasonality using control theory and Beer game simulation and rigorous validation of the signature and index using these methods.

One powerful public support instrument to support the economic interests abroad is via commercial diplomacy (CD). CD is practice gaining more importance in today's economy, but is poorly addressed in research. The available existing research, however, lack detail on the beneficiary perspective and the value-added function of CD, let alone specific enterprises to small and medium enterprises (SMEs). This study contributes to the field of CD by identifying the determinants of the value of CD from an SME (beneficiary) perspective. Out of a random sample of 450 SMEs contacted, 115 of them agreed to fill out a scale-based questionnaire and answer to open questions in the questionnaire. The results demonstrate that the perceived service quality by SMEs of CD influences the overall value SMEs attach to CD. No evidence was found in support of the hypothesis that institutional environment of a host country is negatively related to the value SMEs attach to CD. But we found a negative relationship between the international experience of an SME and the overall value SMEs attach to CD, and a positive relationship between the extent of having foreign public customers and the overall value attached to CD by SMEs. Opposite to what existing literature suggests, smaller SMEs do not attach more value to CD services. Also, for the business network we did not find evidence that SMEs with an established business network attach less value to CD. We did, however, find evidence that SMEs with an established business network attach less value to partner search services. Suggestions for further research are provided.