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The finite element method of analysis is used to determine the elastic buckling loads for plates with and without openings. The formulation is based on Mindlin plate theory. The 8‐node serendipity element was employed to model the membrane behaviour of the plate in order to determine the in‐plane stress distribution throughout the plate due to the edge loading. The heterosis plate bending element was used in the formulation of the governing equations of the stability problem. The elastic buckling loads for plates with and without openings and under different edge loading conditions are determined and the results were compared with the analytical and numerical results available. The openings considered are circular and square located at the centre of the plate. Convergence of the solution for the plates considered is also discussed.

This paper describes a comparison between displacement and load control for the non‐linear Finite element analysis of reinforced concrete structures. The analysis of three examples subjected to in‐plane loading using both the initial stiffness and the modified Newton‐Raphson methods with various tolerances is discussed. Two methods have been used in order to avoid spurious unloading in the displacement control method. The comparisons for the examples analysed show that the use of displacement control gives significant savings in computer time compared with that used for load control, in addition to being able to plot falling branch load‐deflection responses.

One of the fundamental objectives of adopting digital supply chain (DSC) is to uplift the performance of an organization. Although a wide variety of literature confirms the impact of DSC on performance, it is hard to explore as to which dimensions of the performance is affected by DSC and how much. This chapter undertakes discussion on the impact of DSC on the various organizational performance indicators. The chapter also denotes some major key performance indicators (KPIs) that organization can track to gauge the impact of DSC on performance. A brief discussion on the challenges related to the development, adoption, and continuation of KPIs is also appeared in the later part of the chapter. The chapter concludes by denoting that the utilization of digital technologies (DTs) such as artificial intelligence (AI), the Internet of Things (IoT), and complex analytics in DSC has prospects for enhancing the operational efficiency, transparency, and agility of a supply chain (SC). Organizations that adopt these DTs have experienced better demand forecasting, reduced time order fulfillment time, and higher levels of consumer satisfaction. Nonetheless, the successful use of DSC requires development and implantation of KPIs regularly.

Online services are increasingly utilizing gamification techniques to encourage consumer loyalty and engagement. However, the majority of the gamified services fail to be financially sustainable. Existing freemium and gamified services literature provides scant knowledge on behavioral predictors of in-app purchases in freemium gamified services. The research examines highly interactive consumers' in-app behaviors using competition-based motivational affordances, daily usage behavior and social competition motivation that convert them into super engagers.

The authors applied a multimethod approach by using Multivariate Logistic Regression (n = 685) to analyze in-app behavioral data and Qualitative Comparative Analysis (n = 94) to examine survey and in-app behavioral data of highly interactive consumers of a freemium gamified service to explain paying behaviors.

Results reveal highly interactive consumers that elicit heavy daily usage of the application or excel at in-app challenges are less likely to convert to super engagers. Among super engagers, some are socially competitive, and their inability to advance in the leaderboard corresponds to in-app purchases, while non-socially competitive consumers make purchases to collect extrinsic rewards. Additionally, highly interactive consumers who possess more knowledge about the gamified service become super engagers to increase their chances to be socially competitive.

This research examines in-app behaviors of highly interactive consumers of a freemium gamified service that lead to in-app purchases following varying levels of daily usage behavior and social competition motivation. The authors contribute to the previous literature by defining and examining a new consumer segment – super engagers – that is financially beneficial for freemium services because of their in-app purchases. The authors provide insight on in-app behaviors that convert highly interactive consumers to super engagers and demonstrate that the reason for highly interactive consumers to make in-app purchases is a function of acquiring specific internal and external rewards based on their level of social competition.

This study analyzes the effect of content marketing on women's happiness through eudaimonia and hedonism factors and the final result on desires and actions taken.

A total of 227 valid questionnaires were collected from women respondents. The data analysis used partial least squares structural equation modeling (PLS-SEM) to clarify the relationships in the proposed model.

Content marketing turns out to be a crucial factor affecting both eudaimonia and hedonism. Moreover, while eudaimonia plays a particular role in women's behavior, hedonism works likewise on desires.

A crucial decision before developing content marketing is to consider if the final result is to produce desirability or feasibility in consumers. Content marketing addressing eudaimonia will impact feasibility; while the content aims to create desirability, the hedonic aspect of happiness should be emphasized.

Though content marketing and the effect of content marketing on brands' performance and consumer decision processes has been deeply analyzed in the literature, there is a lack of research into the effect of such content on consumers' well-being. Another contribution of this study is the focus on local brands and on women's eudaimonia and hedonism.

This study aims to focus on local food consumption and specifically seeks to explore how consumers construct the meaning of local food and the nature of relationships between key influences on the local food purchase intention.

A two-stage qualitative methodology was adopted consisting of five focus group discussions and 25 semi-structured interviews with consumers in Northern Ireland. Focus groups explored consumer meanings of local food. Semi-structured interviews sought to explore in more depth the inter-relationships between the influences on the purchase intention and the role of moral norms.

Five key influences on the purchase intention are identified (quality attributes, experience and familiarity, emotional attributes, the setting, support for the local economy). These influences are connected with a range of self-interest, altruistic and moral factors.

This study was undertaken in a specific geographical setting and thus the generalisation of the findings is limited. Future research should ascertain the views of stakeholders (producers and retailers) to provide multi-actor constructions and understandings of local food.

There are a number of practical implications for marketers from this study that provide considerable scope to differentiate local food products. A more nuanced understanding of consumer motivations and their understanding of local food will help marketers to develop brand image linked to the themes identified here such as product familiarity and rural connections. Furthermore, the local food servicescape or setting should be managed carefully to construct an emotional attachment and positive consumer experience, whilst promoting trust and perceptions of quality.

Previous studies on local food consumer behaviour have considered the influences on local food consumer behaviour in quite binary terms (self-interest and altruistic factors). This study unpicks the key influences on the purchase intention, based on a thematic analysis, and proposes a new categorisation and set of interrelationships around five key themes.

Usability is one of the key concerns in the development of mobile learning applications. The aim of this paper is to design and validate a usability evaluation questionnaire (UEQ) for mobile learning applications.

The UEQ was developed in four stages: selecting primary studies and extracting usability problems, thematic analysis, creating UEQ items and validation and reliability using confirmatory factor analysis (CFA).

CFA to derive the model fit was computed using AMOS to test the construct validity. The model-fit values were within their respective expected acceptance levels. To assess the reliability of the instrument item loadings, the internal consistency coefficients such as Cronbach’s alpha, McDonald’s Omega and composite reliability were considered. Indicator loadings ranged between 0.735 and 0.933, fulfilling the threshold of above 0.7.

The study provides a novel UEQ for mobile learning applications, which can be used by developers and in academic research to assess mobile learning applications.

Objective – The first wave of experiences of exemptions policies suggested that poverty-based exemptions, using individual targeting, were not effective, for practical and political economic reasons. In response, many countries have changed their approach in recent years – while maintaining user fees as a necessary source of revenue for facilities, they have been switching to categorical targeting, offering exemptions based on high-priority services or population groups. This chapter aims to examine the impact and conditions for effectiveness of this recent health finance modality.

Methodology/approach – The chapter is based on a literature review and on data from two complex evaluations of national fee exemption policies for delivery care in West Africa (Ghana and Senegal). A conceptual framework for analysing the impact of exemption policies is developed and used. Although the analysis focuses on exemption for deliveries, the framework and findings are likely to be generalisable to other service- or population-based exemptions.

Findings – The chapter presents background information on the nature of delivery exemptions, the drivers for their use, their scale and common modalities in low-income countries. It then looks at evidence of their impact, on utilisation, quality of care and equity and investigates their cost-effectiveness. The final section presents lessons on implementation and implications for policy-makers, including the acceptability and sustainability of exemptions and how they compare to other possible mechanisms.

Implications for policy – The chapter concludes that funded service- or group-based exemptions offer a simple, potentially effective route to mitigating inequity and inefficiency in the health systems of low-income countries. However, there are a number of key constraints. One is the fungibility of resources at health facility level. The second is the difficulty of sustaining a separate funding stream over the medium to long term. The third is the arbitrary basis for selecting high-priority services for exemption. The chapter therefore concludes that this financing mode is unstable and is likely to be transitional.