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This paper evaluates an alternative queuing concept for marine container terminals that utilize a truck appointment system (TAS). Instead of having all lanes providing service to trucks with appointments, this study considers the case where walk-in lanes are provided to serve those trucks with no appointments or trucks with appointments but arrived late due to traffic congestion.

To enable the analysis of the proposed alternative queuing strategy, the queuing system is shown mathematically to be stationary. Due to the complexity of the model, a discrete event simulation (DES) model is used to obtain the average waiting number of trucks per lane for both types of service lanes: TAS-lanes and walk-in lanes.

The numerical experiment results indicated that the considered queuing strategy is most beneficial when the utilization of the TAS lanes is expected to be much higher than that of the walk-in lanes.

The novelty of this study is that it examines the scenario where trucks with appointments switch to the walk-in lanes upon arrival if the TAS-lane server is occupied and the walk-in lane server is not occupied. This queuing strategy/policy could reduce the average waiting time of trucks at marine container terminals. Approximation equations are provided to assist practitioners calculate the average truck queue length and the average truck queuing time for this type of queuing system.

When port authorities or terminal operators set the free time or increase storage density, the decision is often made without a clear understanding of their effects on throughput and rehandling productivity. This is partly because practical methods that deal specifically with the effect of dwell time on throughput and productivity are limited in the literature; hence the motivation for this work. This paper introduces simple methods to evaluate the effect of container dwell time and storage policies on import throughput, storage density, and rehandling productivity. The analysis considers two import storage strategies 1) non-mixed - no stacking of new import containers on top of old ones, and 2) mixed - stacking of new import containers on top of old ones. The results highlight the effect dwell time has on throughput and rehandling productivity. For the non-mixed storage policy, the increasing container dwell time lowers throughput and average stack height - resulting in an increase in rehandling productivity. On the other hand, for the mixed storage policy, the increasing container dwell time raises throughput and average stack height - resulting in a decrease in rehandling productivity. Using the presented methods, port authorities and terminal operators are able to assess and quantify the benefits of their decisions regarding container free time and subsequently make an informed decision.

Team social capital (TSC) has been attracting increasing research attention aiming to explore team effectiveness through within- and cross-team resource conduits. This study bridges two disconnected theories – TSC and evolutionary theory – to examine gaming clans and analyzes mechanisms of the clans' TSC building from an evolutionary perspective.

This research draws longitudinal data from a sample of gaming teams (N = 1,267) from anonymized player data from the game World of Tanks spanning 32 months. The authors explored teams' evolutionary patterns using hidden Markov models and applied longitudinal multilevel modeling to test hypotheses.

The results showed that teams of different sizes and levels of evolutionary fitness vary in team closure and bridging social capital. The authors also found that larger teams are more effective than smaller ones. The positive association between team-bridging social capital and effectiveness is more substantial for smaller teams.

This research advances the theoretical development of TSC by including the constructs of teams' evolutionary status when analyzing strategic social capital building. Adding to existing literature studying the outcome of TSC, this research also found a moderating effect of team size between TSC and effectiveness. Finally, this study also contributes to a longitudinal view of TSC and found significant evolutionary patterns of teams' membership, TSC, and effectiveness.

This study investigates the short-run and long-run impacts of agricultural credit on Vietnam's agricultural GDP over the period 2004:Q4–2016:Q4, with the incorporation of agricultural labor, public investment and rainfall as important determinants of agricultural GDP.

This study applies the indicator saturation (IS) break tests and the autoregressive distributed lag (ARDL) bounds test with structural breaks to examine the credit–agricultural performance nexus. The causal relationships among variables are explored through the Toda–Yamamoto Granger causality test.

The results indicate that agricultural credit positively influences agricultural GDP in both the short-run and long-run. A unidirectional causal relationship running from credit to agricultural GDP is confirmed. The results also discover the positive and significant effects of labor and rainfall on agricultural GDP in the long-run.

The results imply that the government should focus on expanding agricultural credit as well as enhancing the efficiency of agricultural credit. Furthermore, formal credit institutions should be encouraged to work closely with farmers and agricultural enterprises to offer flexible lending periods and amounts to meet the real situation of agricultural production.

This study is the first to examine the credit–agricultural performance relationship at the macro-level in Vietnam. Based on the empirical results, the study provides crucial implications for policymakers to optimize the effectiveness of agricultural credit and enhance nationwide agricultural performance.

The purpose of this study was to examine hedonic hunger at the end of the Ramadan fasting.

Data were collected by the Power of Food Scale (PFS), Food Craving Questionnaire-Trait (FCQ-T) and the Visual Analogue Scale. All data were taken twice at the beginning and end of Ramadan fasting.

A total number of 105 volunteers (43.8% female and 56.2% male) participated in a cross-sectional study. Ramadan fasting associated with PFS food tasted sub-factor, whereas no association was found on PFS aggregate and other PFS domain factors. Participants had higher PFS food tasted domain score at the end of the Ramadan fasting than before Ramadan fasting (p < 0.001). Total FCQ-T score as well as all sub-domains did not differ significantly. Females desired to consume carbonated beverages more, whereas in male (p = 0.04), ice cream was the most craved food.

The findings of this study provide data to the literature about the relation between Ramadan fasting and hedonic hunger. Ramadan fasting appears to have an influence on pleasure at first bite. The effect of Ramadan fasting on hedonic hunger should be tested with larger samples and controlled trials.

The purpose of this study is to examine the implementation of Industry 4.0 (I4.0) through the lens of the dynamic capabilities framework. Contrary to most existing research, this study chooses a cross-national viewpoint, exploring companies operating in two emerging economies.

Semi-structured interviews were conducted with 80 company managers operating in eight industries in Vietnam and Bolivia. The chosen inductive analysis was supported by qualitative content analysis and data structure.

The analysis reveals 13 conceptual dimensions. For instance, sensing opportunities underlines tangible and intangible “direct prospects”, such as enhanced accuracy, speed and cost effectiveness, whereas “operational management pressures” (sensing threats) identify the dilemma of changing individuals’ mindset, recruitment and addressing financial needs. While there is an overall agreement in key dimensions, differences between managers from both countries also arise, including staff’s adaptation and constant upskilling.

Empirically, this study responds to calls for cross-national studies investigating I4.0 initiatives. In doing so, the data gathered from company managers engaged in business in emerging economies afford new perspectives, with practitioner value. Theoretically, the numerous dimensions emerging from the data analysis provide useful conceptual insights to understand managerial aspects in considering and adapting to I4.0 expectations and requirements. These insights are reinforced by the development of a conceptual model that illuminates the initiatives, efforts and challenges of embracing this phenomenon.

Additive manufacturing (AM) is readily capable of producing models and prototypes of complex geometry and is advancing in creating functional parts. However, AM processes typically underperform traditional manufacturing methods in mechanical properties, surface roughness and hermeticity. Solvent vapor treatments (vapor polishing) are commonly used to improve surface quality in thermoplastic parts, but the results are poorly characterized.

This work quantifies the surface roughness change and also evaluates the effect on hermeticity and mechanical property impacts for “as-printed” and acetone vapor-polished ABS tensile specimens of 1-, 2- and 4-mm thicknesses produced by material extrusion (FDM).

Vapor polishing proves to decrease the power spectral density for surface roughness features larger than 20 µm by a factor of 10× and shows significant improvement in hermeticity based on both perfluorocarbon gross leak and pressure leak tests. However, there is minimal impact on mechanical properties with the thin specimens showing a slight increase in elongation at break but decreased elastic modulus. A bi-exponential diffusion decay model for solvent evaporation suggest a thickness-independent and thickness-dependent time constant with the latter supporting a plasticizing effect on mechanical properties.

The contributions of this work show vapor polishing can have a substantial impact on the performance for end-use application of ABS FDM components.

The purpose of this study is to examine the impact of the characteristics and competencies of entrepreneurs on business performance within the creative industry in Indonesia. By creative industry, is refer to market-oriented enterprises that use creativity and intellectual capital to create, produce, distribute and disseminate creative goods and services through media channels.

This study measured six entrepreneurial characteristics: creative and innovative, risk-taking, need for achievement, leadership, autonomy and proactiveness. In addition, it measured five entrepreneurial competencies: opportunity, strategy, relationship, organization and learning. Data collection was conducted using a questionnaire administered to 294 entrepreneurs operating businesses within the creative industry in Java, Sumatra and Kalimantan, Indonesia.

The findings of this study demonstrated that entrepreneurial characteristics and competencies had a significantly positive effect on business performance. Creativity and innovation emerged as the most influential characteristics, whereas strategy stood out as the most influential competency.

This study aimed to examine whether the personal qualities of entrepreneurs as identified within conventional industries − specifically their entrepreneurial characteristics and competencies − had an impact on business performance in the creative industry in Indonesia. Conventional industries, unlike creative industries, are characterized by the production and distribution of physical goods or basic services, with less emphasis on creative innovation as the core driver.

The main purpose of this research is to investigate the supply chain performance through collaborative effectiveness, from the organisations of Asia–Pacific region perspective, compared with that of global organisations based on collaborative supply chain practices.

The survey research methodology was adopted, involving the collection of survey data from 223 participants across 10 different industries and 6 geographic regions. Data included 103 organisations in the Asia–Pacific region including Australia, India, China, Malaysia, Singapore, Indonesia and Thailand.

From a collaborative effectiveness perspective, the supply chain performance of Asia–Pacific organisations is different when compared with that of global organisations. It was also found that global organisations are driven by sales performance, while Asia–Pacific organisations are focussing mainly on the cost in terms of the number of employees, and therefore productivity. The metal industry stands out to be the best performing industry from a collaborative effectiveness perspective in the Asia–Pacific region and globally.

The research findings can be used as a guide by industry practitioners to develop benchmarks for collaborative supply chain practices by industry and region of operations. This research has been limited to a few industries such as manufacturing, logistics, service and retail industries.

This research generates new knowledge on the relationship between the collaborative effectiveness and supply chain performance, from the perspectives of both Asia–Pacific and global organisations, based on a collaborative effectiveness framework. The study proposes an innovative approach of assessing supply chain performance through collaborative effectiveness from the perspectives of geographical boundaries and industry types.

This study aims to develop a benchmarking model with productivity, management, and sustainability indicators (PMS), measure the performance of furniture firms in Vietnam, explore the causes of performance gaps, and identify the barriers and factors of benchmarking practice.

The article uses both qualitative and quantitative methods. Literature review, exploratory interviews and a grounded-theory process are employed to develop a benchmarking framework and identify performance gaps, barriers and factors of benchmarking practice. The PMS benchmarking model and quantitative analysis are utilized to assess performance indicators.

The study proposes the PMS benchmarking model and measures performance indicators of furniture firms. The sources of performance gaps are explored as design, material supply, the economy of scale, market, management systems and openness. Benchmarking practice encounters barriers of difficult indicators, unsuitable firms, insufficient benchmarking knowledge, reluctance to share data, unavailable and unreliable data, and weak engagement. Benchmarking practice is determined by core factors: leader; internal factors: systems, engagement, strategy, scope, culture; external factors: customers, suppliers, associations, support, competition.

Firms could learn benchmarking indicators and the causes of these gaps to improve their performance. When implementing a benchmarking study, scholars and practitioners need to pay attention to barriers and factors of the benchmarking practice to ensure effective results.

This study develops the PMS benchmarking model and estimates performance indicators in an emerging country with the performance gap justification. It provides readers with benchmarking barriers with solutions and success factors of benchmarking practice.