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Open Access
Article
Publication date: 14 March 2022

Luke McCully, Hung Cao, Monica Wachowicz, Stephanie Champion and Patricia A.H. Williams

A new research domain known as the Quantified Self has recently emerged and is described as gaining self-knowledge through using wearable technology to acquire information on…

Abstract

Purpose

A new research domain known as the Quantified Self has recently emerged and is described as gaining self-knowledge through using wearable technology to acquire information on self-monitoring activities and physical health related problems. However, very little is known about the impact of time window models on discovering self-quantified patterns that can yield new self-knowledge insights. This paper aims to discover the self-quantified patterns using multi-time window models.

Design/methodology/approach

This paper proposes a multi-time window analytical workflow developed to support the streaming k-means clustering algorithm, based on an online/offline approach that combines both sliding and damped time window models. An intervention experiment with 15 participants is used to gather Fitbit data logs and implement the proposed analytical workflow.

Findings

The clustering results reveal the impact of a time window model has on exploring the evolution of micro-clusters and the labelling of macro-clusters to accurately explain regular and irregular individual physical behaviour.

Originality/value

The preliminary results demonstrate the impact they have on finding meaningful patterns.

Details

Applied Computing and Informatics, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2634-1964

Keywords

Article
Publication date: 9 August 2021

Birendra KC and Xi Y. Leung

The purpose of this study is to apply the triangle model of technology and the technology readiness index (TRI) in a qualitative study design to explore the geocaching phenomenon…

Abstract

Purpose

The purpose of this study is to apply the triangle model of technology and the technology readiness index (TRI) in a qualitative study design to explore the geocaching phenomenon in state parks.

Design/methodology/approach

A framework was developed to examine the triangular relationships between the park, geocaching and visitors. A total of 12 semi-structured interviews were conducted with Texas state park officials. A thematic analysis was used to analyze the interview data.

Findings

Three types of interactions (i.e. park-visitor, visitor-technology and park-technology) were identified. Although geocaching leads to positive recreational experiences for park visitors, the study also revealed the decreasing popularity of geocaching along with park officials’ apprehension regarding the placement of caches. The findings suggest that Texas state parks fall within the “Avoiders” stage in terms of technology readiness because of a low level of optimism and innovation and a high level of discomfort and insecurity toward geocaching technology.

Originality/value

The study contributes to the extant literature by adding new knowledge regarding geocaching in the context of state parks. This study is one of the first to apply the triangle model of technology to examine the trilateral relationships between parks, geocaching and visitors. The study also innovatively adopts the TRI in a qualitative study to identify the technology readiness stage of state parks.

研究目的

本研究旨在运用科技三角模型以及科技准备度指数(TRI)以定性研究为方法来探索地理藏宝这一现象。

研究设计/方法/途径

本研究为探索公园, 地理藏宝以及访客的三角结构关系提出了理论框架。研究对德克萨斯州立公园行政人员进行了12项半结构化访谈。主题分析发进行了访谈数据分析。

研究结果

研究发现了三种形式的互动:公园访客, 访客科技装备, 和公园的科技装备。尽管地理藏宝活动提高了公园访客的体验, 本研究通过公园人员的视角也发现访客的热情有所降低。研究结果发现德州州立公园在科技准备度意义来说仍处于“回避”阶段, 基于较低的积极度和创新意识, 以及对地理藏宝活动表现较高的不适以及不安。

研究原创性/价值

本研究为已有的文献增添了有关州立公园地理藏宝的新发现。本研究是首次运用科技三角模型来研究公园, 地理藏宝和访客之间的三边关系。本论文也创新性的在定性研究中运用了TRI对州立公园科技准备度进行研究。

Open Access
Article
Publication date: 10 March 2022

Luigi Corvo, Lavinia Pastore, Marco Mastrodascio and Denita Cepiku

Social return on investment (SROI) has received increasing attention, both academically and professionally, since it was initially developed by the Roberts Enterprise Development…

10859

Abstract

Purpose

Social return on investment (SROI) has received increasing attention, both academically and professionally, since it was initially developed by the Roberts Enterprise Development Fund in the USA in the mid-1990s. Based on a systematic review of the literature that highlights the potential and limitations related to the academic and professional development of the SROI model, the purpose of this study is to systematize the academic debate and contribute to the future research agenda of blended value accounting.

Design/methodology/approach

Relying on the preferred reporting items for systematic reviews and meta-analyses approach, this study endeavors to provide reliable academic insights into the factors driving the usage of the SROI model and its further development.

Findings

A systematic literature review produced a final data set of 284 studies. The results reveal that despite the procedural accuracy characterizing the description of the model, bias-driven methodological implications, availability of resources and sector specificities can influence the type of approach taken by scholars and practitioners.

Research limitations/implications

To dispel the conceptual and practical haze, this study discusses the results found, especially regarding the potential solutions offered to overcome the SROI limitations presented, as well as offers suggestions for future research.

Originality/value

This study aims to fill a gap in the literature and enhance a conceptual debate on the future of accounting when it concerns a blended value proposition.

Details

Meditari Accountancy Research, vol. 30 no. 7
Type: Research Article
ISSN: 2049-372X

Keywords

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