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The purpose of this paper is to complete fatigue analysis of welded joints considering both the crack initiation sites and crack coalescence, and to generate virtual welded specimens for computer simulation of fatigue life on a specimen-by-specimen basis; knowledge regarding the weld toe stress concentration factor (SCF) sequence is essential. In this study, attempts were made to analyze the sequence and to find a simple method to generate the sequence using computers.

Laser scanning technique was used to acquire the real three-dimensional weld toe geometry of welded specimens. The scanned geometry was digitally sectioned, and three-dimensional finite element (FE) models of the scanned specimens were constructed and the weld toe SCF sequence was calculated. The numbers in the sequence were analyzed using a simple autoregression model and the statistical properties of the sequence were acquired.

The autoregression analysis showed the value of a weld toe SCF is linearly related to its neighboring factor with a high correlation. When a factor value at a toe location is known, the neighboring factor can be simulated by a simple linear equation with a random residual. The weld toe factor sequence can thus be formed by repeatedly using the linear equation with a residual. The generated sequence exhibits close statistical properties to those of the real sequence obtained from FE results.

When the weld toe SCF sequence is known, it is possible to foresee potential crack locations and the subsequent crack coalescence. The results of the current study will be the foundation for the future work on fatigue analysis of welded joints considering the effects of crack initiation site and crack coalescence.

The weld toe SCF sequence was rarely discussed previously because of a lack of the available data. The current study is the first work to investigate the statistical properties of the sequence and found that a simple autoregression equation can be used to perform the analysis. This study is also the first work that successfully generates a weld toe SCF sequence, which can be used to simulate virtual welded specimens.

Winglets play a major role in saving fuel costs because they reduce the lift-induced drag formed at the wingtips. The purpose of this paper is to obtain the best orientation of the winglet for the Office National d’Etudes et de Recherches Aérospatiales (ONERA) M6 wing at Mach number 0.84 in terms of lift to drag ratio.

A computational fluid dynamics analysis of the wing-winglet configuration based on the ONERA M6 airfoil on drag reduction for different attack angles at Mach 0.84 was performed using analysis of systems Fluent. First, the best values of cant and sweep angles in terms of aerodynamic performance were selected by performing simulations. The analysis included cant angle values of 30°, 40°, 45°, 55°, 60°, 70° and 75°, while for the sweep angles 35°, 45°, 55°, 65° and 75° angles were used. The aerodynamic performance was measured in terms of the obtained lift to drag ratios.

The results showed that slight alternations in the winglet configuration can improve aerodynamic performance for various attack angles. The best lift to drag ratio for the winglet was achieved at a cant angle of 30° and a sweep angle of 65°, which caused a 5.33% increase in the lift to drag ratio. The toe-out angle winglets as compared to the toe-in angles caused the lift to drag ratio to increase because of more attached flow at its surface. The maximum value of the lift to drag ratio was obtained with a toe-out angle (−5°) at an angle of attack 3° which was 2.53% greater than the zero-toed angle winglet.

This work is relatively unique because the cant, sweep and toe angles were analyzed altogether and led to a significant reduction in drag as compared to wing without winglet. The wing model was compared with the results provided by National Aeronautics and Space Administration so this validated the simulation for different wing-winglet configurations.

Human resources (compensation, total rewards, employee engagement, training and development), strategy.

Undergraduate HRM majors and postgraduate business and management.

This case highlights the strong growth and expansion of a former small to medium-sized enterprise (SME) in the United Arab Emirates, Tips & Toes. The company is a leader in the beauty and fitness service industry, and much of its growth and success is attributable to the leadership of its general manager and her implementation of a differentiation strategy, a market innovator in concepts, products and services, and a total rewards system for engaging and retaining employees. Tips & Toes is planning for continued, aggressive growth and expansion over the next five years. This case also highlights an underrepresented area of focus for case studies: women-led businesses, SMEs, and entrepreneurship and innovation.

The main focus of this case is for students to examine the beneftts of using a total rewards strategy to engage and retain employees, and more importantly to see the links between such a strategy and business and revenue growth. This is particularly a salient learning point for students in emerging markets, where more traditional types of compensation and views of the employment contract tend to prevail. In addition, this case could be used as a supplementary learning experience regarding strategy and strategic focus of an organization (i.e. the Treacy and Wiersema model of product leadership, customer intimacy, or operational excellence as a strategic discipline for a firm). And finally, this case provides an example of a woman-led organization which grew out of SME status into a market leader; this example provides students with insight into workable entrepreneur opportunities to which they might not see a direct linkage when reading case studies of large multinational organizations or conglomerates.

Teaching notes are available; please consult your librarian for access.

The purpose of this paper is to focus on the Sourtoe Cocktail, a custom in Dawson City, Canada’s Yukon, in which participants drink a shot of alcohol with a dehydrated human toe in it. Springing from a local legend, the thrill-inducing Sourtoe Cocktail has attracted the attention of tourists. The paper reveals insights from this particular case study in order to discuss potential future tourism trends within the Arctic, especially in regard to the development of a sustainable tourism industry. Additionally, it illustrates how local communities can avoid negative effects of “Arctification.”

The case study is deconstructed through Dean MacCannell’s (1976) framework of sight sacralization. The Sourtoe Cocktail is analyzed based on the five stages of the framework, which helps to reveal the various elements at play at the local level. The framework specifically highlights linkages between society and the Sourtoe Cocktail as a product in order to understand how it became a tourist attraction.

The use of MacCannell’s sight sacralization framework reveals the intricate relationship of the Sourtoe Cocktail to both the Arctic and the local folklore of the Klondike Gold Rush. In addition, it is argued that the activity can serve as an example of avoiding “Arctification” processes for northern communities.

The originality of the study lies in the application of the sight sacralization framework to an ordinary object – a toe – instead of an object of inherent historical, aesthetic or cultural value. The paper proposes a complementary study to the recommendations provided in the Arctic Tourism in Times of Change: Seasonality report (2019) for the development of sustainable Arctic societies.

The purpose of this paper is to review the literature on information technology adoption in organizations to understand the need of integrated models for technology adoption. It further makes an attempt to identify key parameters to integrate technology acceptance model (TAM) and technology-organization-environment (TOE) framework for firm level technology adoption. This integration is intended to improve predictive power of resulting model.

The research papers are accessed from the popular databases from 2000 to 2012. The selected papers have addressed technology adoption in context of recent technologies such as e-commerce, ERP, RFID, EDI and knowledge management, etc. The paper attempts to review the studies based on TAM model and TOE framework to identify relevant set of variables for the adoption of these technologies in organizations.

TAM and its extended versions have high capability to explain the technology adoption while the significance of TOE framework is similarly recognized in explaining technology adoption. This review presents a holistic picture of a set of variables which can be used in the adoption of similar technologies in future. Further, the study has advocated the integration of TAM model and TOE framework to improve their explanatory power in technology adoption. The identified set of variables of TAM model and TOE framework can be used to integrate the two. Guidelines for integrating the two are also explained.

This study provides a platform for studying adoption of similar technologies using integration of TAM and TOE.

The researchers and managers can use the set of variables identified for adoption of similar technologies in organizations.

The review presents a set of variables which can be used to study adoption of similar technologies in future.

This paper aims to explore the challenges and opportunities of blockchain technology adoption from the lens of the technological–organisational–environmental (TOE) framework for operational excellence in the UK automotive industry context.

The research methodology of this study follows a systematic review approach, which analyses existing academic published research papers in the top 35 academic journals. There was no specific timeframe established for this study and shortlisting the articles through a set of used keywords. A sample of 71 articles was shortlisted and analysed to provide a discussion on technological and management challenges and opportunities of blockchain adoption from the lens of the TOE framework for operational excellence.

The findings of this study present significant theoretical and managerial implications and deep understanding for firms seeking to understand the challenges and opportunities of blockchain adoption for their operational excellence.

The systematic literature approach was considered for the present study to explore existing academic papers on technological and management challenges and opportunities from the lens of TOE framework for operational excellence, whereas a more specified method meta-analysis can be considered for future research. The study has been explored in the UK automotive industry context, which has been considered as the limitation of generalisation across countries and industries.

This paper represents the most comprehensive literature study related to the technological and management challenges and opportunities of blockchain from the TOE framework angle for operational excellence.

This study aims to identify the impact of mobile payment on firm performance by developing a model based on the technology, organization and environment framework (TOE framework) including relative advantage, complexity, compatibility, innovativeness, mobile payment knowledge, critical mass, competitive pressure and external support.

The data were collected from the retail and service firms in Bangkok, Thailand (n = 387). Multiple regression analysis was applied to test the proposed model and carried out in SPSS version 25.

The results indicated that the TOE factors, including relative advantage, innovativeness, mobile payment knowledge, critical mass, competitive pressures and external supports, can predict firm performance. While innovativeness is the strongest predictor of positive firm performance, on the other hand, critical mass is found to be negatively significant on firm performance.

This research suggests that firms that accept mobile payment can identify the positive impact on firm performance and it is important for payment service providers and the government to work closely with firms.

As some merchants still refuse to implement mobile payment services in their business, this current study seeks to understand the impact of mobile payment. However, not many studies are reported its impact in Southeast Asia. This study is probably the first in Thailand to examine the impact of mobile payment on firm performance in the retail and service firms.

The purpose of this paper is to estimate the acceptable defect size amax after needle peening (NP) and predict the fatigue limit improvement through the use of NP for an austenitic stainless steel welded joint containing an artificial semi-circular slit on a weld toe.

Residual stress and hardness distribution were measured. Microstructures around the weld toe were observed to clarify the cause for the change in hardness after NP. Finite element method analysis was used to analyze the change in the stress concentration following NP. Fracture mechanics was used to evaluate amax after NP. The fatigue limits before and after NP were predicted by determining amax for several levels of stress amplitude.

The tensile residual stress induced at the surface of the weld toe prior to NP changed to a compressive residual stress after NP. The residual stress near the surface layer after NP exceeded the yield stress prior to NP due to the increase in yield stress as a result of work hardening as well as the generation of a deformation-induced martensitic structure. The stress concentration was reduced due to the shape improvement caused by NP. The estimation value of amax after NP and the prediction results of fatigue limits were in good agreement with the fatigue test results.

The proposed method is useful in improving the reliability of welded joints used in large steel structures, transportation equipments and industrial machines.

From an engineering perspective, it is essential to estimate amax and the fatigue limit of welded joints with crack-like defects. However, it is unclear as to whether it is possible to predict amax and the effects of NP on the fatigue limit for stainless steel welded joints.

Big data analytics (BDA) is recognized as a turning point for firms to improve their performance. Although small- and medium-sized enterprises (SMEs) are crucial for every economy, they are lagging far behind in the usage of BDA. This study aims to provide a single and unified model for the adoption of BDA among SMEs with the integration of the technology–organization–environment (TOE) model and resource-based view.

A survey of 112 manufacturing SMEs in Iran was conducted, and the data were analysed using structural equation modelling to test the model of this study.

The results offer evidence of a BDA mediation effect in the relationship between technological, organizational and environmental contexts, and SMEs performance. The findings also demonstrated that technological and organizational elements are the more significant determinants of BDA adoption in the context of SMEs. In addition, the result of this study confirmed that BDA adoption could enhance the financial and market performance of SMEs.

Providing a single unified framework of BDA adoption for SMEs enables them to appreciate the importance of most influential elements (technology, organization and environment) in the adoption of BDA. Also, this study may encourage SMEs to be more willing to use BDA in their businesses.

Although there are studies on BDA adoption and firm performance among large companies, there is a lack of empirical research on SMEs, in particular, based on the TOE model. SMEs differ from large companies in terms of the availability of resources and size. Therefore, this study aimed to initiate a conceptual framework of BDA adoption for SMEs to assist them to be able to take advantage of the adoption of such technology.

The study challenges the assumption of independence among Technological, Organizational and Environmental (TOE) factors and investigates the influence of TOE factors on Big Data Analytics (BDA) adoption among Small and Medium Enterprises (SMEs). Top management support was proposed as a mediator between technological and organizational factors and BDA adoption. Furthermore, the moderating effect of environmental factors on the association between relative advantage, compatibility, competitiveness, organizational readiness and BDA adoption was evaluated.

Data were collected from 171 SME manufacturing firms and analyzed using the partial least squares technique.

The findings confirmed the interrelationships among the TOE factors. The effects of compatibility, competitiveness and organizational readiness on BDA adoption were mediated by top management support. Furthermore, environmental factors moderate the influences of compatibility and organizational readiness on top management support.

The findings contribute to the TOE model by challenging the assumption of independence among TOE factors, and future studies should use this model with more caution and consider the potential relationships between TOE factors.