Country Market Sequential Order-of-Entry: A Learning Effects Approach

ABSTRACT

In this article, we identify and describe the sequential order-of-entry problem. The sequential order-of-entry problem arises when, after having identified a desirable set of country markets to enter, firms are unable (because of budgetary constraints), or unwilling (because of possible learning or strategic issues), to enter all at once. The question then arises whether some sequences to entering the desirable set of country markets are better than others? Answering this question is shown to be nontrivial. The article outlines a number of arguments for the existence of superior sequences to entering a set of desirable country markets, and develops normative and dynamic frameworks to aid in the identification and evaluation of sequences.     

Automatic extraction of 1D barcodes from video scans for drone-assisted inventory management in warehousing applications

The widespread use of barcodes has significantly contributed to accurate, efficient and economic inventory management in warehouses and distribution centres. However, its efficiency has always been limited by the primary method of reading barcodes with a handheld laser scanner. Compared with this reading by line-of-sight at close proximity, vision-based barcode reading algorithms can further improve efficiency, particularly if accompanied by automated data collection platforms such as drones. This paper introduces algorithms that are able to automatically extract barcodes from video data, and verifies their feasibility and promise for inventory management in warehousing applications. Three key techniques corresponding to different recognition levels are proposed: For a known barcode region, a Harris corner detector and Hough transform-based algorithm is applied to quickly estimate the angle by which the frame area needs to rotate to orient the bars vertically for information extraction. Then, the idea of exploiting connectivity and geometry property of barcode areas is proposed to directly recognise multiple barcode regions in a single video frame to eliminate reading difficulties resulting from interactive influence of multiple juxtaposed barcodes, and to save computation time by only processing frame areas of interest for valid barcodes. In addition, a histogram difference-based fast extraction strategy is designed to further improve efficiency by reducing duplicate information processing. Finally, the performance of each technique is evaluated by analysing video data from a large logistics warehouse, demonstrating satisfactory performance in inventory management applications.     

Retaining a diverse workforce: the impact of gender‐focused human resource management

Demography theory suggests that high gender diversity leads to high turnover. As turnover is costly, we tested the following: a main effect prediction derived from demography theory, and a moderating effect prediction derived from the relational framework. Data on 198 publicly listed organisations were collected through a human resources decision‐maker survey and archival databases. The results indicate that higher gender diversity leads to lower turnover in organisations with many gender‐focused policies and practices. Findings suggest that organisations can lower their turnover rates by increasing their gender diversity and by implementing gender‐focused policies and practices.     

Management earnings forecasts and the quality of analysts’ forecasts: The moderating effect of audit committees

This study investigates whether effective audit committees influence the association between management earnings forecasts and the properties of analysts’ forecasts. We posit that this influence on the part of an audit committee would likely result from increased responsibility for monitoring voluntary disclosure. Using the four attributes that the Blue Ribbon Committee (1999) and prior research suggest as being indicative of audit committee effectiveness, we find that analysts’ forecasts exhibit higher accuracy and lower dispersion with the issuance of management forecasts for those firms employing audit committees that are composed exclusively of independent directors, include an accounting expert, and act with due diligence. We also find that effective audit committees strengthen the association between management and analyst forecast accuracy. Our evidence, therefore, supports the notion that effective corporate governance influences the reliability of voluntary disclosure, and thereby benefits the users of financial information.     

Value-in-context in crowdfunding ecosystems: how context frames value co-creation

The aim of this paper is to analyse the phenomenon of crowdfunding and determine whether it can be considered a service ecosystem, where the context frames innovation through value co-creation. A qualitative, multiple case study approach is used to analyse three platforms and six initiatives in the Spanish arts sector. The findings reveal that crowdfunding can be considered an ecosystem where value-in-context frames seven types of value co-creation, offering a contribution both to ecosystem theory and to the field of co-creation.