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This study aims to analyse value co-creation in innovative firms within innovation environments (IEs) in the south region of Brazil from a processual and dynamic perspective, including its antecedents, initiatives and its outcomes in the multiple facets of the firms’ performance.

A qualitative and quantitative multi-method study was carried out with the management and support teams of these IEs, as well as with a sample of 91 companies installed.

The results helped clarify the value co-creation process in IEs of an emerging economy, suggesting under which conditions and how value co-creation practices are performed and its significant role in specific performance dimensions of companies.

The study contributes to companies and IEs within emerging economies to prioritize practices related to the co-creation of value to enhance their results.

In emerging countries, IEs struggle to apply their scarce resources to the development of hosted firms. Having value co-creation as a concept that presupposes the involvement of the beneficiary and other actors to improve the companies’ value proposition, its practice may constitute a valuable ally in this effort. However, the dynamics of value co-creation in such environments, its antecedents and specific outcomes are still unclear.

This work aims to offer a better understanding of the inevitable challenges related to the digital transformation in the family-owned low-tech SMEs, examining the role assumed by familiness in this specific context. To this end, it examines the main factors that influence the adoption and implementation of digital technologies in the family-owned low-tech SMEs.

The study uses a multiple case studies approach, by investigating the case of family-owned low-tech SMEs operating in the winery sector and located in the South-Italy area.

Based on the empirical evidence, findings show how familiness influence the digital transformation of family-owned SMEs and highlight three main factors – individual, process and organization – relevant for the introduction and use of digital technologies in the productive and innovative activities of these organizations.

This paper fills the research gap existing in the literature on the family business. Firstly, it focuses on the digital transformation phenomenon and underlines how familiness, within family-owned low-tech SMEs, can differently influence the firm's innovation processes primarly based on the use of digital technologies oriented to enable business improvements. Then, it identifies diverse dimensions that can act as “barriers” or “facilitators” for adopting advanced digital technologies within the organizations here examined.

Recent years have witnessed a significant rise in Indian healthcare establishments (HCEs) which indicate that there is a constant need to improve the healthcare quality services through the adoption and implementation of TQM enablers. The purpose of this paper is to identify such enablers and then propose a ranking model for TQM implementation in Indian HCEs for improved performance.

The study identifies 20 TQM enablers through comprehensive literature survey and expert’s opinion, and classifies them into five main categories. The prominence of these enablers is established using a recently developed novel multi-criteria decision making (MCDM) method, i.e. best-worst method (BWM). The importance of the various main category and sub-category enablers is decided on the basis of their weights which are determined by the BWM. In comparison to other MCDM methods, such as analytical hierarchy process, BWM requires relatively lesser comparison data and also provides consistent comparisons which results in both optimal and reliable weights of the enablers considered in this paper. Further, a sensitivity analysis is also carried out to ensure that the ranking (based on the optimal weights) of the various enablers is reliable and robust.

The results of this study reveal that out of five main category enablers, the “leadership-based enablers (E1)” and the “continuous improvement based enablers (E5)” are the most and the least important enablers, respectively. Similarly, among the 20 sub-category enablers, “quality leadership and role of physicians (E14)” and “performing regular survey of customer satisfaction and quality audit (E52)” are the most and the least dominating sub-category enablers, respectively.

This study does not explore the interrelationship between the various TQM enablers and also does not evaluate performance of the various HCEs based on the weights of the enablers.

The priority of the TQM enablers determined in this paper enables decision makers to understand their influence on successful implementation of the TQM principles and policies in HCEs leading to an overall improvement in the system’s performance.

This study identifies the various TQM enablers in HCEs and categorizes them into five main categories and ranks them using the BWM. The findings of this research are quite useful for management of the HCEs to properly understand the relative importance of these enablers so that managers can formulate an effective and efficient strategy for their easy and smooth implementation which is necessary for continuous improvement.

The current work aims to present a parallel code using the open multi-processing (OpenMP) programming model for an adaptive multi-resolution high-order finite difference scheme for solving 2D conservation laws, comparing efficiencies obtained with a previous message passing interface formulation for the same serial scheme and considering the same type of 2D formulations laws.

The serial version of the code is naturally suitable for parallelization because the spatial operator formulation is based on a splitting scheme per direction for which the flux components are numerically computed by a Lax–Friedrichs factorization independently for each row or column. High-order approximations for numerical fluxes are computed by the third-order essentially non-oscillatory (ENO) and fifth-order weighted essentially non-oscillatory (WENO) interpolation schemes, assuming sparse grids in each direction. The grid adaptivity is obtained by a cubic interpolating wavelet transform applied in each space dimension, associated to a threshold operator. Time is evolved by a third order TVD Runge–Kutta method.

The parallel formulation is implemented automatically at compiling time by the OpenMP library routines, being virtually transparent to the programmer. This over simplifies any concerns about managing and/or updating the adaptive grid when compared to what is necessary to be done when other parallel approaches are considered. Numerical simulations results and the large speedups obtained for the Euler equations in gas dynamics highlight the efficiency of the OpenMP approach.

The resulting speedups reflect the effectiveness of the OpenMP approach but are, to a large extension, limited by the hardware used (2 E5-2620 Intel Xeon processors, 6 cores, 2 threads/core, hyper-threading enabled). As the demand for OpenMP threads increases, the code starts to make explicit use of the second logical thread available in each E5-2620 processor core and efficiency drops. The speedup peak is reached near the possible maximum (24) at about 22, 23 threads. This peak reflects the hardware configuration and the true software limit should be located way beyond this value.

So far no attempts have been made to parallelize other possible code segments (for instance, the ENO|-WENO-TVD code lines that process the different data components which could potentially push the speed up limit to higher values even further. The fact that the speedup peak is located close to the present hardware limit reflects the scalability properties of the OpenMP programming and of the splitting scheme as well. Consequently, it is likely that the speedup peak with the OpenMP approach for this kind of problem formulation will be close to the physical (and/or logical) limit of the hardware used.

This work is the result of a successful collaboration among researchers from two different institutions, one internationally well-known and with a long-term experience in applied mathematics for industrial applications and the other in a starting process of international academic insertion. In this way, this scientific partnership has the potential of promoting further knowledge exchange, involving students and other collaborators.

The proposed methodology (use of OpenMP programming model for the wavelet adaptive splitting scheme) is original and contributes to a very active research area in the past years, namely, adaptive methods for conservation laws and their parallel formulations, which is of great interest for the entire scientific community.

The purpose of this paper is to propose a cost-effective, time-saving and easy-to-use failure modes and effects analysis (FMEA) system applied on the quality control of supplied products. The traditional FMEA has been modified and adapted to fit the quality control features and requirements. The paper introduces a new and revised FMEA approach, where the “failure concept” has been modified with “defect concept.”

The typical FMEA parameters have been modified, and a non-linear scale has been introduced to better evaluate the FMEA parameters. In addition, two weight functions have been introduced in the risk priority number (RPN) calculus in order to consider different critical situations previously ignored and the RPN is assigned to several similar products in order to reduce the problem of complexity.

A complete procedure is provided in order to assist managers in deciding on the critical suppliers, the creation of homogeneous families overcome the complexity of single product code approach, in RPN definition the relative importance of factors is evaluated.

This different approach facilitates the quality control managers acting as a structured and “friendly” decision support system: the quality control manager can easily evaluate the critical situations and simulate different scenarios of corrective actions in order to choose the best one. This FMEA technique is a dynamic tool and the performed process is an iterative one. The method has been applied in a small medium enterprise producing hydro massage bathtub, shower, spas and that commercializes bathroom furniture. The firm application has been carried out involving a cross-functional and multidisciplinary team.

This paper aims to understand how the FUCAPE 120% Sustainable project promotes sustainable development in higher education. The project was conceived and implemented by FUCAPE Business School, a private higher education institution (HEI) specialised in business, located in Vitória, Espírito Santo, Brazil.

The approach of the study was qualitative research based on a case study. Data were collected through semi-structured interviews with 12 stakeholders involved in FUCAPE 120% Sustainable.

The results indicate that FUCAPE 120% Sustainable is a project formed from 18 sustainable actions incorporated on the campus of FUCAPE Business School. Most of the project’s actions are connected to the triple bottom line (TBL) and linked to sustainable development goals (SDGs), particularly SDG12 (responsible consumption and production), SDG13 (climate action) and SDG17 (partnerships for the goals).

This study contributes to the literature by extending information on sustainability in HEIs, focusing specifically on a business HEI.

This is an innovative project that can serve as a model for other HEIs, with due adaptations. As business HEIs do not usually have laboratories, they may be considered to have little effect on the environment. However, this study found that business HEIs can have a relevant impact on the environment, and the adoption of sustainable actions can minimise adverse effects.

Various sustainability projects and actions are developed and implemented by HEIs, but studies analysing the projects in business HEIs or studies linking the actions of the project to the TBL theory and SDGs are scarce. Sustainable business HEI-based projects may provide future managers a more inter-disciplinary and sustainable vision focused on the TBL and SDGs.

This paper aims to propose an innovative approach to assist teachers in using electronic libraries to develop learning activities for context‐aware ubiquitous learning, in which the learning system can detect students' behaviors and guide them to learn in the real world with personalized support from the digital world.

An electronic library with context‐awareness metadata for supporting learning activities conducted in real‐world environments is presented. Furthermore, a systematic procedure for guiding teachers in employing the electronic library to develop learning activities is proposed based on an innovative approach.

From a practical application conducted on an elementary school, it is found that, with this innovative approach, electronic libraries not only have the potential in supporting traditional in‐class or online learning activities, but also can assist teachers and digital content workers in developing high quality learning activities and related digital learning materials to support outdoor learning.

The findings of this paper imply that, to promote the utilization rate of electronic libraries for more specified purposes, more features of the application domains need to be considered while designing the database schemas of the electronic libraries.

From the feedback of teachers and digital content workers, it is found electronic libraries have high potential for supporting outdoor learning activities for “Science” and “Social science” courses with proper database schema design and the provision of user guidance.

An electronic library for supporting context‐aware ubiquitous‐learning is presented and an innovative approach for guiding teachers to design learning activities is proposed.

This study aims to analyse the influence of digitalisation on the management control function of small and medium-sized enterprises (SMEs). In particular, it aims to illuminate how digitalisation influences management control elements, organisation and roles/competencies and to identify obstacles to digitalisation of management control in SMEs and measures taken to overcome them.

The study is based on guideline-supported expert interviews conducted with 14 financial managers from SMEs in Germany, Austria and Switzerland.

This study reveals the influence of digitalisation on management control elements, organisation, and roles/competencies. The automation and standardisation of management control processes result in new elements for management control, such as strategic support for management. In addition, the increased availability and transparency of data enable the use of instruments within a company that allow for quick analyses of the company's development. Digitalisation leads to the integration of management control into the corporate network and, thus, a change in the organisation of management control. It also triggers the expansion of management control competencies, especially IT competencies. A shortage of internal digitalisation resources, unclear corporate roadmaps, and a lack of managerial experience loom as central challenges for digitalising the management control function. Measures derived from the interviews can help SMEs overcome the obstacles to the digitalisation of management control.

This research is the first interview-based study of the impact of digitalisation on management control in SMEs, potential obstacles to that digitalisation, and measures to overcome those obstacles. Thus, it contributes to the emerging debate on factors that may explain why SMEs lag in terms of the digitalisation of their internal processes.

Hanfu has been the Han ethnic costume in Chinese history. This study explores the travel motivation and experience of Hanfu tourists by conducting qualitative research on Hanfu tourists through photo-elicitation interviews with 25 participants covering four study regions, including the mainland of China, Taiwan, Malaysia, and Singapore. The results reveal seven motivations drive Hanfu tourists: (1) personal hobby, (2) seeking cultural identity, (3) social belonging, (4) Hanfu tourist photography, (5) career need, (6) influence on Hanfu movement, and (7) free space for wearing Hanfu created by tourism. Additionally, the seven types of Hanfu tourist experiences are (1) social experience, (2) cultural experience, (3) Hanfu performance experience, (4) nonvisual sensual experience, (5) learning experience, (6) challenge experience, and (7) pilgrimage experience. This study further furnishes theoretical and managerial implications as a reference for destination marketing targeting Hanfu tourists.

Documentation plays a key role in navigating the costs of construction projects. Traditional document management systems (TDMS) used in developing countries, however, hinder the achievement of expected cost targets. Although the electronic document management system (EDMS) has been implemented to improve documentation, the Sri Lankan construction industry has failed to effectively adapt to it. Hence, this study aims to provide strategies for the effective application of EDMS to the cost management of Sri Lankan mega construction projects.

This study uses a qualitative approach followed by 12 semi-structured expert interviews. Quantity surveying experts were selected through judgemental sampling. Manual content analysis was used to analyse the data.

The EDMS is more suitable for megaprojects than traditional methods of documentation in terms of functionality, neutrality, interoperability, space, reversibility and delivery speed. However, there are contradictory views about cost and security. Furthermore, five transitional challenges of EDMS have been identified under the three key themes of cost, stakeholder perception and technical difficulties. Four reasons were also identified as causing these five challenges. Seven suggestions were made to deal with these transitional challenges and three key feasible solutions for the Sri Lankan construction industry regarding the EDMS were identified. Development of Sri Lankan software with low initial cost was highlighted as the most feasible solution.

This is a novel study to investigate the applicability of EDMS to cost management mechanisms of megaprojects in Sri Lanka. The findings reveal transitional challenges and appropriate feasible solutions for EDMS adaptation. This can be applied to the cost management of megaprojects in other developing countries as well.