Giljae Lee, Yoonjoo Kwon, Woojin Seok and Minsun Lee
Recent wireless communication and electronics technology has enabled the development of low‐cost, low‐power, and multi‐functional sensor nodes. However, the fact that sensor nodes…
Abstract
Purpose
Recent wireless communication and electronics technology has enabled the development of low‐cost, low‐power, and multi‐functional sensor nodes. However, the fact that sensor nodes are severely energy‐constrained has been an issue and many energy‐efficient routing protocols have been proposed to resolve it. Cluster‐based routing protocol is one of them. To achieve longer lifetime, some cluster‐based routing protocols use information on GPS‐based location of each sensor node. However, because of high cost, not all sensor nodes can be GPS‐enabled. The purpose of this paper is to propose a simple dynamic clustering approach to achieve energy efficiency for wireless sensor networks (WSN).
Design/methodology/approach
Instead of using location information of each sensor node, this approach utilizes information of remaining energy of each sensor node and changes in the number of cluster head nodes dependent on the number of sensor nodes alive. Performance results are presented and compared with some related protocols.
Findings
The simulations described in the paper show that both residual energy of each sensor node and changing cluster head nodes depending on the number of sensor nodes alive are very critical factors to obtain performance enhancement in terms of lifetime and data transmission. Especially, in some special environment, the proposal has better performance than GPS‐enabled protocol.
Originality/value
The paper is of value in proposing a simple dynamic clustering approach to achieve energy efficiency for WSN.
Details
Keywords
Despite the growing importance of visual information, user-generated photos in product reviews have received relatively little attention. We investigate whether the contextual…
Abstract
Purpose
Despite the growing importance of visual information, user-generated photos in product reviews have received relatively little attention. We investigate whether the contextual background of a product image can influence consumers' perceptions of review helpfulness and product evaluation.
Design/methodology/approach
Online experiments were conducted using a scenario technique. A single factor (contextual background: low vs. high) between-subjects design was conducted in Study 1. A 2 (contextual background: low vs. high) × 2 (mental simulation: outcome vs. process) between-subjects design was conducted in Study 2.
Findings
A photo with a high (vs. low) contextual background enhances mental imagery, increasing perceived helpfulness and product evaluation. Furthermore, mental simulation plays a significant moderating role in the relationship between contextual background and mental imagery.
Originality/value
Based on cue utilization theory, this study identifies how the contextual background of product images affects consumers' perception and product evaluation by uncovering the underlying mechanism of mental imagery. Furthermore, the research examines the moderating effect of mental simulation while reviewing user-generated photos.
Details
Keywords
Jannet C. Bencure, Nitin K. Tripathi, Hiroyuki Miyazaki, Sarawut Ninsawat and Sohee Minsun Kim
The research aims to establish importance scheme of geospatial factors for land valuation activities that may serve as an eye-opener and aid the concerned government agencies in…
Abstract
Purpose
The research aims to establish importance scheme of geospatial factors for land valuation activities that may serve as an eye-opener and aid the concerned government agencies in drafting land valuation policies and guidelines to achieve a sound land governance and administration. It specifically identifies and weighs geospatial valuation factors to establish their importance.
Design/methodology/approach
The research involves discussions and survey questionnaires given to land experts (i.e. appraisers, environmental planners, land economist, geodetic engineers and assessors) who indicated their opinions on influence of geospatial factors on land value. The analytic hierarchy process (AHP) is then used to weigh the factors in terms of its importance.
Findings
The result was then compared with the multiple regression analysis (MRA) taking into consideration the standardized regression coefficient of the 15 factors. The AHP method found out the major road accessibility and slope direction as the most and least influential factors, respectively, while surprisingly MRA found major road accessibility not significant at p < 0.05 level of significance.
Research limitations/implications
The research generally reflects the sub-urban type of study area; hence, inclusion of other road types such as express ways and subways and performing sensitivity analysis of AHP are suggested in future studies.
Practical implications
The findings of the study will provide information of concerned government agencies in improving valuation activities, as well as to update values regularly based on the geospatial factors.
Originality/value
To the best of the authors’ knowledge, this study is the first effort to rank geospatial factors with analytic hierarchy analytic process that further considered both their negative and positive influences on land value. The approach surmounts the flaw and shortcomings of empirical methods of identifying importance of factors.