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This paper aims to provide a promising memetic algorithm (MA) for an unrelated parallel machine scheduling problem with grey processing times by using a simple dispatching rule in the local search phase of the proposed MA.

This paper proposes a MA for an unrelated parallel machine scheduling problem where the objective is to minimize the sum of weighted completion times of jobs with uncertain processing times. In the optimal schedule of the problem’s single machine version with deterministic processing time, the machine has a sequence where jobs are ordered in their increasing order of weighted processing times. The author adapts this property to some of their local search mechanisms that are required to assure the local optimality of the solution generated by the proposed MA. To show the efficiency of the proposed algorithm, this study uses other local search methods in the MA within this experiment. The uncertainty of processing times is expressed with grey numbers.

Experimental study shows that the MA with the swap-based local search and the weighted shortest processing time (WSPT) dispatching rule outperforms other MA alternatives with swap-based and insertion-based local searches without that dispatching rule.

A promising and effective MA with the WSPT dispatching rule is designed and applied to unrelated parallel machine scheduling problems where the objective is to minimize the sum of the weighted completion times of jobs with grey processing time.

The paper aims to discuss error detection and correction in Kashmiri carpet weaving (KCW), mediated by cryptographic code, Talim which is held to guarantee accurate information transference from designing to weaving, even after hundred years. Yet, carpets often show errors on completion.

Human factors analysis revealed error emergence, detection and correction in this practice whose task domains are distributed over large geographies (from in-premises to several kilometers) and timescales (from days to decades). Using prospective observation method, production process of two research carpets from their design, coding and weaving was observed while noting the errors made, identified and corrected by actors in each phase.

The errors were found to emerge, identified and corrected during different phases of designing, coding and weaving while giving rise to fresh errors in each phase, due to actors’ normal work routines.

In view of this, usual branding of “weaver-error” behind flawed carpet turns out to be misplaced value judgment passed in hindsight.

This study aims to explain why low social conduct in corporate social responsibility (SC-CSR), especially employee exploitation, has a stronger negative impact on consumer reactions for service firms than for manufacturing firms.

Five experiments compared consumer reactions to service and manufacturing firms with low SC-CSR. Study 1 used a choice-based conjoint design to examine the relative importance of various shared attributes when consumers chose services versus goods. Study 2 revealed that low SC-CSR led to more pronounced negative consumers reactions toward service firms. Studies 3A and 3B explained this difference through a serial mediation analysis. Study 4 ruled out an alternative explanation regarding the differentiated effects.

The results reveal that consumer reactions to employee exploitation in service firms are more negative compared to manufacturing firms. This is because consumers’ sense of presence (i.e. feeling of being there) is stronger in a service setting, leading to more intense empathetic emotions toward service employees.

This research contributes to the CSR literature by challenging the conventional notion that sweatshops are more problematic for manufacturing firms. By contrast, the results indicate a stronger negative effect on service firms. It contributes to the services marketing literature by conceptualizing a novel cognitive mechanism. Traditionally, consumers’ negative reactions are driven by anger. However, the authors show that empathetic feelings toward mistreated employees play a predominant role. While it is imperative for all firms to ensure fair treatment of their employees, the findings underscore the heightened significance of this aspect for service firms, given their susceptibility to more pronounced negative effects.

With reference to the global financial crisis and lessons learned, advocacy for distributing suitable financial products by financial intermediaries remain key if consumers, especially the illiterate in underdeveloped financial markets, are to be absorbed into the formal financial system. Financial intermediaries such as microfinance banks should provide suitable financial products, with full disclosure of information and customer protection relating to distribution of all financial products within the financial market to prevent financial vulnerability. The main purpose of this study is to establish the mediating role of financial product suitability in the relationship between access to microfinance products and survival of women micro-agribusinesses in rural Uganda.

SmartPLS with bootstrap based on 5,000 samples was used to test for the mediating role of financial product suitability in the relationship between access to microfinance products and survival of women micro-agribusinesses in rural Uganda.

The results revealed that financial product suitability improves access to microfinance products by 29 percentage points to promote survival of women micro-agribusinesses in rural Uganda. In reality, delivering suitable financial products that suit the economic condition of poor women micro-agribusiness borrowers, can allow them to use these products to generate income to meet timely repayment obligations and business demands.

The current study selected samples from only women micro-agribusinesses operating in rural Uganda, with a specific focus on the northern region. Thus, studies involving samples selected from other rural developing countries may be necessary in future. Additionally, while the findings are significant, the data were collected from only women microenterprises who are clients of microfinance banks. Future studies focusing on women microenterprises who are clients of other financial institutions may offer insightful comparative data.

The findings from this study offer strategies for managers of microfinance banks to invent and design financial products that suit the economic status and condition of different microcredit clients, especially the women micro-agribusinesses. This can help them to solve the problem of defaults in loan repayment and delinquency common while lending to the rural poor. In fact, microfinance banks should adopt a customized loan pricing model that can promote the operational sustainability and commercial viability of women micro-agribusinesses in the current situation of mission adrift.

The current study uses the suitability rule and economic theory to elucidate the importance of microfinance product suitability to increase microfinance inclusion of women micro-agribusinesses in rural areas in developing countries. The novelty in this paper is in combining the suitability rule and economic theory with microfinance theory to promote access to microcredit by the women micro-agribusinesses in rural Uganda under the situation of mission adrift. This is limited in the existing microfinance literature and theory, especially in developing countries like Uganda.

The Customary Land Delivery Institutions (CLDIs) provide the platform for the supply of developable land in most cities in sub-Saharan African countries. While there is a need to measure the effectiveness of CLDIs to compare their performance with others or themselves over time, there is however a dearth of evidence-based frameworks that could be adopted for such an assessment. This study developed a framework for the evaluation of the effectiveness of CLDIs. This is with a view to providing a tool for measuring the performance of land governance.

A total of 46 good governance criteria for measuring the various dimensions of CLDIs generated from the literature were transformed into a measurable scale which was validated by a panel of 16 experts through a modified Delphi approach. A pilot study was also conducted on 42 land-based professionals to assess the reliability of the framework. Content Validity Index (CVI) was calculated for relevancy scores while clarity was measured by clarity score. Cronbach alpha was also employed to measure the reliability of the framework.

The result of the 46 criteria validated by the experts revealed that 89.5% of items in the developed instrument have a content validity index (I-CVI) equal to or greater than the 0.85 threshold and a mean I-CVI of 0.90. With the CVI score and the analysis of the comments made by the experts, six items were removed from the instrument and a total of six new items were added. The final corrected instrument after a further iteration had a total of 46 items. The reliability test also revealed a Cronbach alpha score of 0.82.

This paper provides a framework useful for developing countries, especially in the development of land delivery policies and provides a framework for the analysis of the important aspects thereof.

This paper demonstrates the development of a holistic framework for the assessment of CLDIs which hitherto were not in existence.

Behavioral economics poses a challenge for the welfare evaluation of choices, particularly those that involve risk. It demands that we recognize that the descriptive account of behavior toward those choices might not be the ones we were all taught, and still teach, and that subjective risk perceptions might not accord with expert assessments of probabilities. In addition to these challenges, we are faced with the need to jettison naive notions of revealed preferences, according to which every choice by a subject expresses her objective function, as behavioral evidence forces us to confront pervasive inconsistencies and noise in a typical individual’s choice data. A principled account of errant choice must be built into models used for identification and estimation. These challenges demand close attention to the methodological claims often used to justify policy interventions. They also require, we argue, closer attention by economists to relevant contributions from cognitive science. We propose that a quantitative application of the “intentional stance” of Dennett provides a coherent, attractive and general approach to behavioral welfare economics.

Understanding individual susceptibility to political fake news is critical because fake news can target specific psychological profiles of vulnerable individuals. Consequently, this research examines five individual risk (i.e. susceptibility) and resilience (i.e. protective) factors, conspiracy mentality, patriotism, perceived threat to freedom, media literacy and concern for disinformation, to determine if they inform belief in political fake news and subsequently, to what degree belief impacts private engagement with political fake news.

Using a fictional political fake news stimulus, the authors conducted a deductive thematic analysis of 10 semi-structured interviews and an online survey of 722 United Kingdom (UK) citizens analysed using structural equation modelling.

Conspiracy mentality and patriotism were positively associated with belief in political fake news, while media literacy and concern for disinformation were negatively associated with belief in political fake news. Perceived threat to freedom was a strong theme in the qualitative data but had no statistical effect on belief in political fake news. Belief in political fake news was positively associated with further engagement with the fake news story, acting as a mediator in the model.

Distinct from previous research that focuses on partisanship and sharing behaviour, this research forwards a model underpinned by social identity theory to build an integrated understanding of political fake news belief. The results demonstrate that political identity motivations beyond partisanship are salient when examining individual susceptibility to political fake news and that belief in political fake news plays a core role in understanding subsequent private engagement with the story.

Internal control systems are critical to an organization's efficiency and promotes the adherence to norms and rules. The purpose of this study is to evaluate the impact of internal control systems on banking industry effectiveness.

Data were collected from 15 commercial and 20 rural banks. The hypothesized relationships were supported by the data. A structural equation modeling was applied in testing the conceptual model and hypothesis. Confirmatory factor analysis was conducted to establish validity and reliability of the dimensions.

The results show that organizational effectiveness was significantly impacted by three dimensions of internal control systems: control activities, control environments and risk assessment. However, the impact of monitoring of control on organizational effectiveness was not significant. The results also show a nonsignificant impact of information and communication on organizational effectiveness.

Since the current study concentrated on the banking sector with its distinct characteristics, the generalizability of the conclusions may be limited.

The study's findings may aid decision-makers and stakeholders in the adoption, designing and implementation of proactive internal control system to enhance operational efficiency, effectiveness and competitive advantage.

The study advances the literature by empirically evidencing that internal control systems impact organizational effectiveness.