Additive puzzles form a large and important class of problems in Artificial Intelligence, since many other problems may be shown to be homomorphic to them, and many techniques for…
Abstract
Additive puzzles form a large and important class of problems in Artificial Intelligence, since many other problems may be shown to be homomorphic to them, and many techniques for solving them are easily transferable to certain classes of problems. For many additive puzzles, a homomorphic puzzle can be sometimes obtained which is much simpler than the initial one. If the simple puzzle cannot be solved from the image of a state in the first puzzle, then the first puzzle cannot be solved from that state. A method to obtain a simple homomorphic puzzle is by colouring its board. This paper presents an algorithm for colouring the boards of additive puzzles. Three heuristic backtracking decisions are discussed and their experimental performances are compared.
Shiva Sadat Mostafavi and Alexis Mavrommatis
This paper aims to offer an integrated framework for branded apps (BAs) that highlights research gaps and points to areas for future research.
Abstract
Purpose
This paper aims to offer an integrated framework for branded apps (BAs) that highlights research gaps and points to areas for future research.
Design/methodology/approach
Using a systematic literature review approach, the authors analyzed more than 100 articles published between 2009 and the present. This research used databases such as SCOPUS, Web of Science, EBSCO and Elsevier’s Science Direct, with a particular focus on articles listed in the 2021 ABS index. The reviewed papers were coded and organized into four categories in terms of themes and concepts: antecedents, mechanisms, outcomes and moderators.
Findings
The study identified four types of antecedents (app benefits, personal traits, brand benefits and others) that influence outcomes via cognitive, affective and a mix of both mechanisms, which is termed multipaths. The authors classified outcomes into five areas (financial gains; app benefits; brand benefits; customer benefits; and others). Moderators were grouped into four types (customer individuality; app features; brand characteristics; and others). The authors concluded by recommending promising directions for future research. Specifically, the authors suggested an inverted U-shaped relationship between escapism and customer responses to BAs.
Originality/value
This paper focused exclusively on BAs, differentiating them from other mobile apps. The authors integrated nearly 100+ studies conducted over two decades. This integrated model serves as a guiding tool for understanding the past, present and future of BAs.