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A 2D numerical simulation using a finite element technique is presented for computing spreading resistance of a semiconductor buried ridge stripe laser. The simplified physical model is analyzed from the functional analysis point of view and a proof of existence and uniqueness of the nonlinear partial differential equations obtained from this simplified model is given. The discrete associated nonlinear problem is solved on triangular finite elements using conjugate gradient algorithms. Some results are presented for a specific semiconductor laser

Despite the increasing numbers of research studies about social media business, the concept of social media agility is still an emerging topic that has been understudied. Therefore, the purpose of this study was to investigate the effect of social media agility on business performance by using a sample of small- and medium-sized enterprises (SMEs) in Thailand. Moreover, this study explored whether the effect of social media agility on business performance could be moderated by the characteristic of firm in terms of size, as well as the characteristic of market environment in terms of environmental dynamism.

The sample of 337 firms was obtained from the business directory using the simple random sampling method, and the model assessment was performed by using partial least squares structural equation modeling.

The data analysis indicated that social media agility positively affected the business performance of SMEs. Moreover, the moderating effect analysis showed that smaller firms tended to gain higher business performance from social media agility than larger firms. In addition, social media agility positively affected business performance to a greater extent when firms operated under low environmental dynamism than when they operated under high environmental dynamism.

Because SMEs are the key driving of economic development and economic growth, the recommendations from this study could be helpful for the government sector responsible for the competency development of SMEs to offer a development program that might enable entrepreneurial firms to develop social media marketing competencies and enhance their potential to be successful in the digital transformation.

The authors found new evidence showing that the degree to which social media agility affected business performance depended significantly on the firm characteristics in terms of firm size, as well as the environmental factor in terms of environmental dynamism. These findings provide valuable contributions to the existing literature that still lacks evidence about the moderating conditions that could increase or reduce the benefits that firms obtain from social media agility.

The purpose of this paper is to investigate to what extent a consumer’s repair strategy impacts the annual costs of ownership of a washing machine and two types of vacuum cleaner.

The annual cost of ownership is determined by calculating the annual life cycle cost (LCC) for the respective devices. The annual LCCs of the different scenarios allow a comparison of the different repair strategy options. A Monte Carlo simulation is run to introduce parameter variability. The device’s failure rate is estimated by a combination of data sets on the devices’ performance.

Results demonstrate that the repair of the devices considered is a more favourable option over replacement. A consumer who aims for the lowest annual LCC should allow for a high number of repairs per device, without putting a maximum on the cost per repair. However, the consumer should become more cautious when a device approaches the end of its expected lifetime. Finally, the purchase of warranty can be interesting when the warranty covers a sufficiently long proportion of the device’s (expected) lifetime and when its cost does not exceed a threshold proportion of the initial purchase price.

The costs for repair might be overestimated. Future research can focus on the reduction of repair costs following self-repair.

The results provide strong arguments in favour of repair instead of replacement of broken devices.

This is the first research to quantify the influence of consumer behaviour in the context of repair of devices on the ownership costs of these devices.

The purpose of this paper is to analyse the role of hospital leaders and high-performance work practices (HPWPs) in intensive care units (ICUs) in organizational agility and its impact on healthcare personnel satisfaction.

This study was carried out in three ICUs of an important Spanish public hospital, one for adults, one paediatric and one neonatal. The unit of analysis was ICUs personnel (324 individuals: 14.5%, 48.8% and 36.7% from the categories of doctors, nurses and nurses' aides, respectively) who were invited to participate in the study. The sample had 248 individuals, with a sampling distribution by categories that was quite similar to that of the population. To test the hypotheses proposed, structural equations modeling (SEM) were used as the maximum likelihood estimation method.

The results confirm the proposed model and reveal the importance of the human dimension in ICUs on hospital agility and performance in terms of satisfaction of the clinical staff working in this area.

This paper is original because it analyses units of high complexity, such as ICUs from a management and non-clinical perspective. In addition, it studies the role of hospital managers and HPWPs on employee outcomes, as well as in-hospital responsiveness in a very dynamic context that demands agility on the management approach.

The current study aims to propose a new analytical approach by considering energy consumption (EC), maximum tardiness and completion time as the primary objective functions to assess the performance of parallel, non-bottleneck and multitasking machines operating in dynamic job shops.

An analytical and iterative method is presented to optimize a novel dynamic job shop under technical constraints. The machine’s performance is analyzed by considering the setup energy. An optimization model from initial processing until scheduling and planning is proposed, and data sets consisting of design parameters are fed into the model.

Significant variations of EC and tardiness are observed. The minimum EC was calculated to be 141.5 hp.s when the defined decision variables were constantly increasing. Analysis of the optimum completion time has shown that among all studied methods, first come first served (FCFS), earliest due date (EDD) and shortest processing time (SPT) have resulted in the least completion time with a value of 20 s.

Considerable amount of energy can be dissipated when parallel, non-bottleneck and multitasking machines operate in lower-power modes. Additionally, in a dynamic job shop, adjusting the trend and arrangement of decision variables plays a crucial role in enhancing the system’s reliability. Such issues have never caught the attention of scientists for addressing the aforementioned problems. Therefore, with these underlying goals, this paper presents a new approach for evaluating and optimizing the system’s performance, considering different objective functions and technical constraints.

This visit was made to complete an unfulfilled invitation from the General Manager, Mr Van Neste, offered to the writer several years ago. It was a pleasure to find the time to make the trip and meet some old friends and to see actions taken to keep this company busy, efficient and profitable.

The purpose of this paper is to introduce a multi-level framework for semantic modeling (MFSM) based on four signification levels: objects, classes of entities, instances and domains. In addition, four fundamental propositions of the signification process underpin these levels, namely, classification, decomposition, instantiation and contextualization.

The deductive approach guided the design of this modeling framework. The authors empirically validated the MFSM in two ways. First, the authors identified the signification processes used in articles that deal with semantic modeling. The authors then applied the MFSM to model the semantic context of the literature about lean manufacturing, a field of management science.

The MFSM presents a highly consistent approach about the signification process, integrates the semantic modeling literature in a new and comprehensive view; and permits the modeling of any semantic context, thus facilitating the development of knowledge organization systems based on semantic search.

The use of MFSM is manual and, thus, requires a considerable effort of the team that decides to model a semantic context. In this paper, the modeling was generated by specialists, and in the future should be applicated to lay users.

The MFSM opens up avenues to a new form of classification of documents, as well as for the development of tools based on the semantic search, and to investigate how users do their searches.

The MFSM can be used to model archives semantically in public or private settings. In future, it can be incorporated to search engines for more efficient searches of users.

The MFSM provides a new and comprehensive approach about the elementary levels and activities in the process of signification. In addition, this new framework presents a new form to model semantically any context classifying its objects.

Research on makers and innovation has been equivocal regarding whether maker innovation is driven by internal motivation or external incentives. The motivation view favors the intrinsic motives of makers, whereas the incentive view supports external economic incentives. The authors combine both views to explore how innovation tournaments promote the product innovation outcomes of different creative and entrepreneurial makers, using economic incentives (money) or social incentives (love).

The authors interviewed 42 makers and collected a panel dataset of 29,823 makers from the largest digital maker community in China using a Python crawling program. The authors analyzed the data using multiple methods, including cluster analysis, discriminant analysis, factor analysis and negative binomial regression.

Compared with entrepreneurial makers, the product productivity of creative makers is inferior, but their product popularity is greater. The social incentive of innovation tournaments promotes the product productivity and popularity of creative makers compared with that of entrepreneurial makers, but the economic incentive is contradictory. In addition, social and economic incentives interact to generate inconsistent influences.

The study identifies creative and entrepreneurial makers and contributes to user innovation and innovation tournaments by integrating motivation and incentive views.

This paper reviews research on the intersection between additive manufacturing technologies (AMTs) and business models (BM). The purpose of the review is to synthesize past research for the benefit of researchers, to describe the dominant research themes and aggregated research questions and to identify research gaps in the literature.

A systematic literature review of secondary data was conducted. The 288 publications in the review appeared in peer-reviewed journal articles, conference proceedings papers and book chapters. All publications are listed in this paper by publication year and publication source. The review also distinguishes between empirical and non-empirical studies, describes methodological approaches and categorizes the publications by unit of analysis and by theme.

Research on the intersection between AMT and BM, which has increased significantly in the last three years, reflects firms' and industries' growing interest in digital manufacturing processes. This review identifies twelve dominant themes in the literature that contribute important insights to the field. Aggregated research questions are identified in each theme. Research advances and gaps are presented. Four themes relate directly to BM: (1) BM types, (2) BM and technology, (3) BM design and processes and (4) BM value and supply chains.

This review is the first systematic literature review on the intersection between AMT and BM. As such, the review provides a guide for researchers as they explore gaps in the research and develop research questions on an aggregated level. The review also supports users of such technologies as they review their business practices and models in the so-called Digital Revolution.

The purpose of this paper is to explore the issue of using virtual tours to improve health and safety through preparatory familiarisation for visits to the swarming area. The main objective of the virtual environment system is path finding by commanding spatial skills.

Provides a case study of the area of Jamarat. One of the main ritual sites during the Hajj, in which Muslims stone the devil during the annual pilgrimage, will be unveiled from a virtual reality perspective and visual analytics.

The virtual environment built may help people interested in a virtual tour of the environment but have no opportunity to go due to limitations or may facilitate participants in pre‐departure preparation of a dangerous environment.

This paper's main issue is using virtual environments for virtual tours and discusses the principles of virtual environment creation and information extraction from available sources using a case study.

The development of the case study environment will be used for training purposes of the Hajj pilgrim candidates to avoid any possible fatal distraction.