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CSP (chip scale packaging) and flip chip area array technologies are emerging within the electronics packaging industry to provide solutions capable of fulfilling the technological demands of computer, telecom and consumer electronic products. However, the full potential of area array attach can only be realised if the next level of interconnect is capable of supporting the fine pitch and high I/O characteristics of emerging CSP and flip chip technology. Celestica has addressed this issue by investigating next generation printed circuit board (PCB) technology, to assess the capability of organic based laminate as a high density interconnect. This paper describes the manufacturing experiments performed to produce a laser microvia interconnect solution. The mechanical performance of the interconnect is also presented to confirm its compatibility with area array assembly.

The purpose of this paper is to examine the effect of coffee production on poverty among smallholder farmers.

National Household Survey data for Uganda were triangulated with qualitative field data. A mix of propensity score matching (PSM) and quantile treatment effect techniques was employed.

The results reveal a significant effect of coffee production on poverty reduction, through incremental household consumption expenditure. Households engaged in coffee production are associated with a lower incidence of poverty. The interesting evidence suggests that coffee production is a pro-poor intervention. These findings are confirmed by qualitative assessment that reveals farmers’ welfare improved to greater extent to satisfactory levels from coffee income.

Econometrically robust strategies were employed to ensure minimal estimation bias; however, the authors are mindful of PSM limitation of selection on observables.

This paper is part of a limited body of literature that combines quantitative and qualitative assessment, a growing issue in contemporary research. In addition to employing one of the conventional impact evaluation techniques, the paper accounts for heterogeneity in the effects of coffee production.

The paper presents a technique for predicting the energy consumption of unregulated energy loads (UELs) in office buildings. It also presents an approach for determining a set of optimum values required by the technique.

The proposed technique uses the optimum power drawn and optimum usage period in three modes of device operation, for the prediction. The usage modes are active mode, idle (low active) mode and off mode. The optimum powers and usage times are inserted into a linear mathematical equation to predict the energy consumption. Regarding the approach for determining the optimum values, the non-dominated sorting genetic algorithm II (NSGA-II) is applied to a range of values obtained from field measurements. The proposed prediction method and approach for determining optimum values were tested using data of energy consumption of UELs in a case study facility.

Test results show that the method for predicting the energy consumption of UELs in offices is highly accurate and suitable for adoption by energy modelers, building designers and building regulatory agencies. The approach for determining the optimum values is also effective and can aid the establishment of workable benchmark values.

A new and simple model has been developed for the prediction of unregulated energy. A method for determining a set of optimum values of power and usage periods required by the model has also been developed. Furthermore, optimum values have been suggested that can be fine-tuned for use as benchmark values. The proposed approaches are the first of their kind.

The purpose of the paper is to investigate the causal relationships and speed of adjustment of stock prices to changes in macroeconomic information (MEI) in Ghana from 1996 to 2018 using monthly data. The paper seeks to conduct the investigation at individual MEI level rather than the composite MEI.

Quantitative approach was used in this paper. Monthly data span of 1996–2018 was used. The delay and half-life technique was used to determine the speed with which the information resulting from the changes in the macroeconomic are evident in the stock price. Thereafter, Toda–Yamamoto Granger no-causality approach was used to examine the causal relationship amongst variables.

The paper revealed that although the market adjustment to MEI has improved, the speed is till slow. The exchange rate exhibited the slowest speed in respect of the market reaction while the market reaction to money supply was the fastest. Toda–Yamamoto Granger no-causality estimation also revealed a bi-directional causality between MEI (gross domestic product, interest rate and money supply) and stock price and uni-directional relationship flowing from MEI (the exchange rate and foreign direct investment) to stock price. The paper also found no causality between inflation and stock price.

The findings although revealed improved level of market efficiency in comparison with the earlier data, the speed of adjustment is still undesirable. Rigorous approach should be adopted for the implementation of major reforms such as alternative market so as to increase the number of share listing and to increase the scope of investors' participation to enhancing trading volume and marketability and ultimately speed up information diffusion.

The practical implication of the low level of information processing rate of Ghana Stock Exchange (averagely more than a month) is that astute investors and market analysts could employ MEI to outperform the market prior to their infusion onto the stock market.

This study is one of the few studies in the Ghanaian literature that has extended the investigation of the speed of adjustment beyond composite or aggregate macroeconomic level estimation to estimation at individual variable level. This contribution is very relevant since each macroeconomic variable has unique characteristics and require specific policy framework, it is important to consider the speed of adjustment from the perspective of each of the individual variables.

This study examines some pertinent individual-level factors and consequences of consumers' continuous social media brand engagement (SMBE) practices. Further, this study examines the moderating effect of other-efficacy to deepen the understanding.

Online survey data collected from 785 respondents, through a convenience sampling technique on Facebook, was analyzed through structural equation (SEM) modeling with AMOS 23.0.

The findings suggest that compatibility with lifestyle, perceived information quality and escapism, which significantly drive consumers' continuous engagement with brands on social media. However, perceived enjoyment does not. Other-efficacy duly moderates consumers' continuous SMBE practices. While continuous SMBE significantly drives consumer-based brand equity (CBBE), continuous SMBE does not have any significant relationship with consumers' subjective well-being (SWB).

This study reports robust findings on the effects of individual-level factors that drive consumers' continuous SMBE practices. However, the study only focused on Facebook brand pages. This is a limitation for generalizability of results because the research did not take a holistic view of all types of social media.

The research suggests a need for managers to project their brands and share relevant and stimulating information throughout their continuous SMBE with consumers to build strong consumer–brand relationships. Managers should also engage consumers with interesting social media messages as well as both informative and transformative creative strategies to excite them. This will further give consumers a reason to continuously interact with the brand on social media platforms.

This study is one of the very few works to tease out pertinent factors that drive consumers' continuous SMBE practices. The paper integrates the consumer-level factors and moderating effects of other-efficacy through the lens of Social Cognitive Theory (SCT) and Uses and Gratification Theory (UGT) to make a significant contribution to the SMBE literature.

Small and medium-scale enterprises (SMEs) are the engine of growth of most developing countries, as they employ a large number of people as opposed to large firms. Consequently, these enterprises should succeed in expanding to become significant employers and producers. However, what seems obvious at least through cursory observation is that the current state of SMEs betrays an economic loss with respect to the benefits that ought to be forthcoming from their potential. This loss can be triggered by a number of factors. The study determines the drivers of internal fraud and their impact on Ghanaian SMEs and prescribes coping mechanisms.

Primary data collected on 250 SMEs collected from various sectors across Accra, the capital of Ghana, are used for this study. Using a cross-sectional regression, the authors identify the key drivers of internal fraud that hamper the growth of Ghanaian SMEs.

The regression results show that although several fraud variables impact negatively the growth of the SME sector, it is only accounting fraud which is significant. This study also revealed that stealing, fake currency issued for the payment of goods or service and non-payment of goods or service account for almost 83 per cent of fraud cases experienced by SMEs.

The study was limited to the SMEs located in the Accra, the capital of Ghana.

The study will offer SMEs owners methods that will assist in their determination to fight fraud in the business that they manage.

The survival of SMEs is paramount to job creation. Consequently, combating fraud that stifle the growth of SMEs will allow SMEs to grow to their full potential and create more job opportunities for the unemployed. This will minimizes the social vices such as robbery, stealing, drug trafficking and prostitution that confront nations.

This study should be useful to managers of SMEs, auditors and the security agencies in developing economies in particular, in their quest to combat fraud within SMEs.

By adopting a social presence theory perspective, this study aims investigate the influence of perceived usefulness of live chat services and of their unique human attributes on customer attitudes, beliefs and behaviours in the context of online travel shopping.

Based on a cross-sectional survey research involving 8 travel provider websites and 631 travel consumers, this work applies structural equation modelling to analyse the data.

The results illustrate that the perceived usefulness from the communication with a human live chat assistant positively influences customer attitudes and trust towards the website as well as increasing purchase intention. The findings further illustrate the role of the human social cues conveyed by live chat facilities, namely, human warmth, human assurance, human attentiveness and human customised content in positively moderating this effect.

The study is limited to specific human attributes. Future research could investigate the role of other human characteristics as well as assess the ability of artificial intelligent powered chatbots in replicating the human elements outlined in this research.

The study provides a unique contribution to the travel literature by offering empirical insights and conceptual clarity into the usefulness of human operated live chat communication on travellers’ attitudes, trust towards the website and purchase intentions.

The purpose of this paper is to investigate employment of positioning strategies in the retail bank sector of Sub-Saharan Africa, specifically using Ghana as the study context. In addition, it explores the applicability of western-based typology of positioning strategies in the Sub-Saharan African environment.

Six retail banks – three national and three foreign – are studied, each through an in-depth case study method: covert and participant observation techniques; and face-to-face interviews of chief executive officers, marketing managers, and bank branch managers provided data for the study.

The results show that the “service” positioning strategy is the most popular strategy employed by retail banks. “Value for money,” “attractiveness,” “brand name,” and “country of origin” positioning strategies are also dominant. “Top of the range” and “selectivity” strategies are minimally pursued by the sample of banks studied. The results reveal that both foreign and national retail banks employ multiple positioning strategies in the face of competition. However, foreign retail banks consistently employ a; large number of strategies relative to national retail banks. This paper supports the applicability of a western-derived set of positioning strategies in the Sub-Saharan African marketplace.

This study closes a gap in the understanding of positioning, as well as filling the empirical gap in the application of positioning. In addition, it helps resolve a contextual gap of knowledge in Sub-Saharan Africa’s retail banking sector.

This study responds to Porter (1996), Clancy and Trout (2002), and Knox (2004) for continued empirical research in positioning in service industries and specifically in Sub-Saharan African economies (Coffie, 2014, 2016; Coffie and Owusu-Frimpong, 2014). Moreover, this research adds value to the banking and marketing literatures through a qualitative case study method, which is an important yet overlooked research method (Yin, 2009).

The purpose of this study is to use the optimization modeling method to explore whether there is an ideal arrangement of course enrollments that can yield optimal parking demand and supply on college campuses.

Using the University of Louisville as a case study, this study deploys a three-step analytical process to examine the correlation between parking demand and course enrollment, estimate parking demand based on course enrollment with regression analyses and embed this estimated relationship in an optimization model that minimizes on-campus parking demand and supply.

The correlation analyses suggest significant correlations between course enrollments and on-campus parking. The correlation patterns are different between students and university employees. The optimization results indicate that coupling parking supply and course scheduling decisions can reduce parking supply by 30%.

Voluminous studies on sustainable campus transportation have focused on transportation demand management strategies. The relationship between course-scheduling and parking demand was not explicitly accounted for in most studies. This study's results reveal that parking demand on campus depends on the number of courses offered across time. Thus, factoring and optimizing course schedules in campus parking decisions remains a viable and essential option to reduce on-campus parking demand.