As social media becomes influential in our daily life, successful adoption of it may act as a motivating factor to achieve entrepreneurial outcomes such as entrepreneurial intention, the most reliable indicator of actions toward entrepreneurial behavior. Although numerous studies found personality as a strong determinant of entrepreneurial intention, the focus was on broad personality constructs such as the Big Five, rather than specific ones that may predict entrepreneurial outcomes better. Based on the concept of entrepreneurial intentionality and entrepreneurial networking, social media technology acceptance that includes perceived usefulness, perceived ease of use, and intention to use social media, is proposed to mediate the relationship between entrepreneurial personality and entrepreneurial intention. Using a sample of 261 college students and SEM analysis, significant positive direct and indirect influences were found.

The present study examines the relationship between high performance human resource (HPHR) system and organizational citizenship behavior (OCB) in Vietnamese enterprises, and explores the mediating role of job satisfaction in this interaction. Data collected from 179 line managers working in Vietnamese companies by structured questionnaires. The results indicate that the positive relationship between HPHR system and organizational citizenship behavior was mediated by job satisfaction. The study also provides an evidence in terms of the application of HPHR system to foster the organizational outcomes and contributes to understand the underlying mechanism in human resource system and employee’s behaviors relationship.

Transnational corporations, which operate in competitive global marketplaces, have to build the best possible intra-supply chain model for meeting, on time, clients’ need for multiple products with the requisite quality. Since fabrication capacity is always limited, the introduction of the external provider option can assist in leveling utilization, smoothing manufacturing schedules, eliminating overtime usage, and shortening the length of the fabrication cycle. Seeking to support intra-supply chain planning, this research aims to provide a concurrent decision on rotation cycle length and delivery frequency for a multi-item vendor-buyer incorporated type of intra-supply chain system with an external provider and rework. First, a model is built to represent this hybrid inventory replenishing problem. Then, renewal reward theory, mathematical derivation, and Hessian matrix equations are utilized to arrive at the expected total cost of the model, as well as the best policies for both cycle time and distribution. Last, the applicability and sensitivity analyses of our results are exhibited by a numerical demonstration. The insights obtained from this study about critical system-related information, such as the individual and joint impacts of the variation in outsourcing and reworking-related features on the system’s optimal operating policy and various performance parameters, will offer crucial help to the managerial functions of planning and decision making in firms using this realistic multi-item hybrid intra-supply chain system.

Facing stiff competition in worldwide markets, capability of meeting timely demands of multiproduct and satisfying customer’s desired product quality are essential to present-day manufacturers. Motivated by achieving the aforementioned goals, this research intends to find most economic common cycle length for a multiproduct finite production rate (FPR)-based inventory system, wherein, imperfect production process with expedited fabrication rate and random scrap is assumed. Extra setup and unit costs are associated with the adjusted rate, and imperfect products are screened and scrapped. A mathematical model is cautiously constructed to examine and resolve the problem. A numerical illustration is employed to exhibit the applicability of the proposed method. Except finding the most economic common cycle time for the problem, core contribution of this study also is associated with the individual and combined impact(s) of important factors to the problem, and hence, enabling management of manufacturing firms to make efficient/cost-effective decision and gain competitive advantages.

The aim of the current study is to examine the effects of competitive advantage and digital marketing on tourism business performance (BP). The indirect effect of supply chain management (SCM) is also considered by the current study. Quantitative research approach is used and data collection is made through a survey instrument. 225 responses were received and used in data analysis to examine the relationship between variables. Five direct effect hypotheses and two indirect effect hypotheses are tested in this study. Smart PLS is used to test the direct and indirect relationship. It is found that; competitive advantage has a positive effect on BP. It also has a positive effect on SCM. Furthermore, digital marketing has a positive effect on BP. Similarly, digital marketing has a positive effect on SCM. Additionally, SCM is a mediating variable between competitive advantage and BP of the tourism industry.

The study applies a postponement strategy to a multi-item fabrication-shipment decision making in a vendor-buyer coordinated environment with multi-delivery, quality reassurance, and overtime. To cope with the recent client demand trend asking for rapid response, quality, and diversified goods, today’s manufacturers require a multi-item production-shipping scheme to satisfy customers’ needs in cost-saving, quality, and timely matter. In our model, we first produce all needed mutual components and postpone manufacturing of finished goods in the second phase. To expedite mutual parts’ fabrication time, overtime is used. Product quality is reassured through screening the defeats and reworking repairable defectives in both fabrication phases. To decide the optimal fabrication-shipment policy, we build a math model and apply the cost minimization technique to the problem. Upon deriving the optimal policy, we utilize an example to demonstrate how our model works and its capability in exposing various previously inaccessible information to the problem. These detailed results can facilitate managerial decision-making and boost the performance of such a specific multi-item postponement fabrication-shipment system in cost-saving, product quality, and timely response.

With the intention of addressing product quality, machine reliability, and acceptable service level issues in real fabrication systems, this paper studies joint effects of stochastic breakdown, backorder of permissible shortage, rework, and scrap on the optimal stock replenishing policy. A decision model is developed to solve the problem, which consists of mathematical modeling, formulations, and optimization method in order to help analyze the problem, derive the system cost function, and find the optimal replenishment cycle length decision. Applicability of the research results are demonstrated by a numerical example. The proposed decision model enables production managers to not only determine the optimal stock replenishing policy, but also reveal individual impact and/or joint effects of stochastic breakdown, defective rate, backorder of allowable shortage, rework, and scrap on the replenishing decision. With such an in-depth study, diverse system characteristics become available for managerial decision-making.

This study presents a multiproduct fabrication cost-minimization model featuring external providers, commonality, rework, and postponement in the supply chain environment. Customers’ requirements simultaneously emphasize quality, variety, and fast response time in current markets. To satisfy customer needs, most manufacturers in various industries (e.g., clothing, household goods, automotive, etc.) plan their multiproduct fabrication by incorporating a postponement strategy, rework process, and an outsourcing option. Motivated by the viewpoints above, this study offers a decision support system to address customers’ external expectations while optimizing internal operating expenses and machine utilization. We propose a single-machine, two-stage delayed differentiation system under a rotation cycle policy. All needed common parts are made in stage one, and stage two fabricates different end products. An external provider is hired to supply partially needed common parts to shorten uptime. The defective items are inevitably produced in both stages. They are categorized and reworked to maintain the desired product quality. Finally, we derive an optimal cost-minimization rotation cycle for our model and use a numerical example to investigate the collective and individual influences of reworking, postponement, and outsourcing to external providers on the multiproduct fabrication problem. In summary, this study can offer an optimization solution for production planning in various modern industries.

Telecom supply chain (TSC) research has determined several risk sources can happen for sustainable supply chain management (SSCM) due to their ambiguous nature. However, investigation of these risks is relatively sparse and has primarily been independent with less combinatory research, despite their interrelationships and causality. The present study aims to address that gap by an extant literature review and analysis of relationships among risk factors using a combination of fuzzy approaches. A mixed approach was used, including empirical data from private and government firms in a developing telecom sector. This research finding confirmed that economical dimension risk is major for SSCM in the TSC. In developing countries, it could help telecom service providers in determining which risk factors are critical and those that are crucially significant. As a result, they will be able to more effectively develop strategies focussing on the most affecting risk dimension for SSCM. This is the first study using a hybrid fuzzy approach that analysed interrelationships of risk factors for SSCM. Further, it gives a comprehensive view of risk assessment in the risk management context in the supply chain.

Operating in today’s turbulent and competitive world marketplaces, manufacturers must find the best production scheme and delivery policy to meet timely client’s multiproduct requirements and minimize the total manufacturing-shipment expenses. This study proposes a two-stage delayed differentiation model for a multiproduct manufacturer-retailer coordinated supply chain featuring the adjustable-rate for making common parts and a multi-shipment policy for transporting finished goods. The aim is to help present-day manufacturers achieve their operational goals mentioned above. The mathematical techniques help us build a specific model to explicitly represent the problem and derive its overall operating expense. Then, the convexity of the total expense is verified by Hessian matrix equations. The differential calculus helps derive the cost-minimized fabrication-shipment decision. This study offers an example to demonstrate the applicability and capabilities of our proposed model numerically. The following crucial information has been made available to the managers to facilitate their operating decision makings: (1) the problem’s best fabrication-shipment policy; (2) the collective influence of various common part’s completion rates and values on the problem’s total expenses and optimal fabrication-shipment policy; (3) the impact of various adjustable-rates in stage one on utilization and stage one’s uptime; (4) the details of cost contributors to the problem; and (5) the collective impacts of critical features on the problem’s performance.