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Despite the enormous expectant opportunities from the African Continental Free Trade Area (AfCFTA), including creating a single continental market for goods and services, trade and investment, one key deterrent has remained fiercely unresolved due to failed trajectories with similar regional markets initiatives in the continent, and that is environmental uncertainty. To address this concern, this paper aims to develop a sustainability enabled-model to facilitate the adoption of AfCFTA under uncertain environment conditions to guide prospective investors and facilitators.

This study is anchored on quantitative research approach and positivists’ paradigm. Survey strategy has been used to collect data from 520 medium-sized firms across Ghana. Data analyses have been conducted with the using smart partial least squares version 3.3.3 analytical tool and structural equation modeling modality.

The findings have showed that institutionalization, supply chain integration, supply chain resilience and innovativeness have positive effects on AfCFTA adoption under uncertainty. Moreover, AfCFTA adoption provides mechanisms through which to attain sustainable supply chain performance. Meanwhile, environmental uncertainty negatively influences AfCFTA adoption, and weakens the relationships between the adoption and sustainability performance.

This paper has developed an integrated investment decision model to facilitate AfCFTA adoption under environmental uncertainty. It provides new insights into the African free market to guide policymakers, practitioners, academics and promoters of AfCFTA on sustainability initiatives that influence its adoption under uncertainty. Moreover, the new model, which serves as a strategic tool for decision-making, could be used to stimulate the ratification and the trade facilitation measures to build strong confidence in current and prospective investors.

This paper aims to investigate the contemporary strategies for Health and Safety (H&S) management practices at the construction sites in Ghana.

The study used a mixed method approach in conducting a cross-sectional survey at 28 active construction sites in the Kumasi and Accra metropolises of Ghana using questionnaires and interview guide by using purposive, convenience and snowball sampling techniques. Data were collected from 170 survey respondents and 18 interview participants comprising artisans and management staff.

On H&S management practices, the study found that most construction sites have policies for H&S delivery and are duly followed and enforced. Nonetheless, construction workers moderately agreed that there was reward for; the avoidance and reduction of accidents and illnesses, good H&S behaviour and provision for insurance and hospital claims. It was also revealed that most of the construction sites adopt either one or a combination of mandatory H&S standards. Generally, most workers possessed a fairly positive perception about the H&S management practices at their sites and were either satisfied or very satisfied with its performance.

Generalizing the findings beyond the study areas is limited because of the use of the non-probability sampling techniques.

This study focused on the active construction sites in the study areas to investigate their H&S practices against the backdrop of numerous publications describing the general H&S situation in Ghana as poor. It revealed the current H&S performance of the construction sites for the benefit of the construction industry, researchers and the academia.

Communication between supply chain partners is critical for replenishment decision making. Decision support systems still require significant human decision making with regard to replenishment when promotions are involved. The purpose of this paper is to study the impact of the sharing of information about the magnitude and timing of retail promotions on cost efficiency in the supply chain. The authors compare performance against theoretical benchmarks and draw conclusions significant to managers.

The subjects in Study 1, 30 undergraduate students at a large, US university, completed the experiment in a single session lasting approximately 60 minutes. The experiment involved a simple, multi‐period replenishment task, played as individuals, that was somewhat like the newsvendor game. Subjects in the experiment employed in Study 2 were senior‐level members of multiple departments from a large consumer products manufacturer in the USA. Participating departments included sales, operations, and supply chain. Self‐reported questionnaires revealed that the average subject had 15 years of experience with supply chain issues and seven years of experience with replenishment. The study was conducted in a single session, lasting approximately two hours, at the corporate headquarters of the participating company. In this experiment, 76 unique subjects participated.

Results from the single‐echelon study reveal the cost‐reducing effect of knowing the magnitude and timing of demand generated by a promotion. However, the poor performance, compared with the theoretical benchmarks, by respondents in the multi‐echelon study, even when the lead time per node is half that of the single‐echelon case and the subjects were experienced managers, highlights the complexity of the task that results from a lack of coordination.

Billions of dollars are spent on retail promotions each year. The management of the forecasting and replenishment of inventory for such promotions is difficult to automate and requires significant human decision making. The paper explores some key issues that are important in the replenishment decision‐making scenario when a promotion is involved.

Although the most obvious managerial recommendation for reducing the coordination and planning problems associated with promotions is simply to communicate more, the authors' research also suggests it may not be enough to alter performance. The results suggest that while communication is helpful, coordination may represent a more serious challenge.

Retailers are implementing technology-enabled mobile checkout processes in their stores to improve service quality, decrease labor costs and gain operational efficiency. These new checkout processes have increased customer convenience primarily by providing them autonomy in sales transactions in that store employee interventions play a reduced role. However, this autonomy has the unintended consequence of altering the checks and balances inherent in a traditional employee-assisted checkout process. Retailers, already grappling with shoplifting, with an estimated annual cost of billions of dollars, fear that the problem may be exacerbated by mobile checkout and concomitant customer autonomy. The purpose of this paper is to understand the effect of mobile checkout processes in retail stores on cybercrime in the form of shoplifting enabled by a technology transformed the retail environment.

The authors conducted an online survey of a US sample recruited from a crowdsourced platform. The authors test a research model that aims to understand the factors that influence the intention to shoplift in three different mobile checkout settings − namely, smartphone checkout settings, store-provided mobile device checkout settings, and employee-assisted mobile checkout settings − and compare it with a traditional fixed location checkout setting.

The authors found that, in a smartphone checkout setting, intention to shoplift was driven by experiential beliefs and peer influence, and experiential beliefs and peer influence had a stronger effect for prospective shoplifters when compared to experienced shoplifters; in a store-provided mobile devices checkout setting, experiential beliefs had a negative effect on shoplifters’ intention to shoplift and the effect was weaker for prospective shoplifters when compared to experienced shoplifters. The results also indicated that in an employee-assisted mobile checkout setting, intention to shoplift was driven by experiential beliefs and peer influence, and experiential beliefs had a stronger effect for prospective shoplifters when compared to experienced shoplifters.

This study is the among the first, if not first, to examine shoplifters’ intention to shoplift in mobile checkout settings. We provide insights into how those who may not have considered shoplifting in less favorable criminogenic settings may change their behavior due to the autonomy provided by mobile checkout settings and also provide an understanding of the shoplifting intention for both prospective and experienced shoplifters in different mobile checkout settings.

Mobile technologies are increasingly used as a data source to enable big data analytics that enable inventory control and logistics planning for omnichannel businesses. The purpose of this paper is to focus on the use of mobile technologies to facilitate customers’ shopping in physical retail stores and associated implementation challenges.

First, the authors introduce three emerging mobile shopping checkout processes in the retail store. Second, the authors suggest that new validation procedures (i.e. exit inspections) necessary for implementation of mobile-technology-enabled checkout processes may disrupt traditional retail service processes. The authors propose a construct labeled “tolerance for validation” defined as customer reactions to checkout procedures. The authors define and discuss five dimensions – tolerance for: unfair process; changes in validation process; inconvenience; mistrust; and privacy intrusion. The authors develop a measurement scale for the proposed construct and conduct a study among 239 customers.

The results show that customers have higher tolerance for validation under scenarios in which mobile technologies are used in the checkout processes, as compared to the traditional self-service scenario in which no mobile technology is used. In particular, the customers do not show a clear preference for specific mobile shopping scenarios.

These findings contribute to our understanding of a challenge that omnichannel businesses may face as they leverage data from digital technologies to enhance collaborative planning, forecasting, and replenishment processes. The proposed construct and measurement scales can be used in future work on omnichannel retailing.

Researchers in supply chain transparency have called to expand the boundaries by disclosing various types of information to multiple stakeholders. The purpose of this paper is to explore the effect of transparency about supply chain sustainability on consumers as critical stakeholders and investigate the effectiveness of message characteristics.

This study utilizes two scenario-based experiments grounded in a refurbished goods context: Study 1, which employs a 2×2 between-subject experiment investigates the effects of product type and sustainable information provision on consumers evaluations, and Study 2, which employs a 2×1 between-subject experiment examines the effects of sustainable information direction on consumer evaluations. A total of 348 participants were recruited from the Amazon M-Turk platform across the two experiments. Data are analyzed with regression analysis using the PROCESS macro in SPSS and the Johnson–Neyman technique.

Contrary to prior research that assumes that refurbished products are associated with lower quality, quality perceptions are moderated by individuals’ environmental involvement (EI) and the information presented by the firm. More importantly, consumer evaluations are influenced by specific characteristics of sustainable supply chain messages: high EI individuals have higher willingness-to-pay a premium (WTPP) when the message is consistent with original beliefs (pro-attitudinal). In contrast to prior theory, there was no difference in the WTPP of consumers with high EI and low EI for counter-attitudinal messages.

The study shows that what to say, how to say it and to whom, are critical for firms who seek to nudge consumers to support their sustainable practices.

The value of communicating information on sustainability has been well established. However, little is known about such association when the information provided trades off environmental benefits and product quality. This research addresses the gap in a refurbished product context. The research studies the effect of sustainable supply chain transparency and message characteristics on stakeholders’ evaluations.

Perceived as an antidote to poor execution, interest in radio frequency identification (RFID)-enabled visibility has grown. The purpose of this paper is to examine whether and how RFID-enabled visibility with item-level tagging improves store execution.

The authors conducted three field-based experiments in collaboration with two Fortune 500 retailers.

RFID-enabled visibility resulted in a sizable decrease in inventory record inaccuracy and out-of-stocks for inventory held in both the backroom and on the sales floor. The decrease in inventory record inaccuracy and out-of-stocks was even greater among products stored primarily on the sales floor suggesting the benefits from increased visibility accrue to sales floor inventory management processes. In contrast, the authors found no significant improvement in inventory record inaccuracy and no substantive improvement in out-of-stocks among products stored primarily in the backroom suggesting that increased visibility does not improve backroom management processes.

The authors recommend retailers focus on sales floor inventory management when seeking to improve store execution through the adoption of RFID-enabled visibility. In the context, only partial evidence exists that backroom inventory management improves with RFID-enabled visibility.

Retailers seeking to invest in RFID technology must estimate potential performance improvements before making firm-specific cost-benefit analyses. They must also understand where and how these performance improvements will accrue. This research uniquely presents the results of a three field experiments that quantify the changes in retail execution associated with RFID adoption.

Pricing the shipping surcharge is a major strategic decision for online retailers, and free shipping promotions are becoming more common among online retailers. The purpose of this research is to examine the effect of last mile pricing strategies on customer attraction and retention in the hypercompetitive online retailing industry. Specifically, this paper investigates the effect of partitioning the shipping surcharge on consumer logistics service quality (LSQ) perceptions and, in turn, purchase behavior.

Employing signaling theory and expectation–disconfirmation theory, hypotheses are derived for two specific points in an online purchase scenario: prepurchase and following a logistics disruption. The hypotheses are tested using a scenario-based experiment with manipulations for the level of shipping surcharge partitioning and the presence of a logistics disruption.

The results suggest that partitioned shipping surcharges influence prepurchase expectations of LSQ satisfaction and amplify the negative effects of logistics disruptions. This, in turn, drives the purchase and repurchase intentions.

The findings inform online retailers of the perceptual and behavioral effects of last mile pricing strategies. Specifically, this research demonstrates how and under what conditioning partitioning the shipping surcharge can influence the attraction and retention of online customers.

This study integrates pricing and LSQ research to assess the black box of consumer purchase behavior. This is one of the first studies to empirically contrast the effects of last mile pricing strategies on consumer expectations and perceptions of LSQ.

THE Fifty‐First Conference of the Library Association takes place in the most modern type of British town. Blackpool is a typical growth of the past fifty years or so, rising from the greater value placed upon the recreations of the people in recent decades. It has the name of the pleasure city of the north, a huge caravansary into which the large industrial cities empty themselves at the holiday seasons. But Blackpool is more than that; it is a town with a vibrating local life of its own; it has its intellectual side even if the casual visitor does not always see it as readily as he does the attractions of the front. A week can be spent profitably there even by the mere intellectualist.

The purpose of this study is to describe the development of market based accounting research (MBAR) published in Indonesia for 10 years. This study attempts to explain the topics of MBAR, research method used, the variables, between-variable relationship formed, and the units analysis used in MBAR. This research uses qualitative-descriptive method to create descriptive models of MBAR articles published in accounting journals that have been accredited with minimum grade of B. The analysis of 109 MBAR articles of five accounting journals shows that 10 MBAR themes are still potential. Among three methods in MBAR, the multivariate association study is dominant. Some papers use intervening and moderating model to explore the relationship between accounting data and capital market reaction. The results for each theme are described in a research map that shows the relationship between variables (constructs) of MBAR from three units of analysis. This paper finds some implications to MBAR research agenda in the future, especially for meta-analysis research and triangulation research, due to many inconsistencies of the MBAR findings in Indonesia. In addition, accounting standard research topic is still promising in the moment of accounting standards transition.