The nature of actor engagement intensity: a classification scheme

被引:6
作者
Wang, Eva Qi [1 ]
Fehrer, Julia A. [1 ]
Li, Loic Pengtao [2 ]
Brodie, Roderick J. [1 ]
Juric, Biljana [3 ]
机构
[1] Univ Auckland, Business Sch, Auckland, New Zealand
[2] La Trobe Univ, Dept Management & Mkt, Melbourne, Australia
[3] Inst Strateg Leadership, Auckland, New Zealand
关键词
Actor engagement; Engagement intensity; Engagement measurement; Classification; CONSUMER BRAND ENGAGEMENT; CUSTOMER ENGAGEMENT; SCALE DEVELOPMENT; WORK ENGAGEMENT; CO-CREATION; BEHAVIOR; PROPOSITIONS; NETWORKS; VALENCE; FOUNDATIONS;
D O I
10.1108/JOSM-11-2022-0348
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Purpose - Actor engagement (AE) literature shows inconsistent understandings of engagement intensity. However, a holistic picture of the nature of AE intensity is foundational to advance empirical AE models and measurement frameworks. This paper provides a nuanced understanding of what engagement intensity is and how it unfolds on different network levels. Design/methodology/approach - This conceptual study draws from a literature review and offers a comprehensive classification scheme of AE intensity. The literature review extends beyond marketing and service research and draws from the etymology of AE intensity in management and social science, specifically, the fields of student, employee and civic engagement. Findings - The classification scheme clarifies that AE intensity at the individual level refers to actors' affective and cognitive tone and varying magnitudes (i.e. efforts, duration, activeness) of resource investments. At the dyad level, AE intensity represents relational strength, and at the network level, it refers to the degree of connectedness in the network. Research limitations/implications - The research reconciles conceptual inconsistencies in the AE literature. Our classification scheme goes beyond the individual actor and actor-actor dyad and offers a holistic overview of possible ways to operationalize AE intensity in networks. Practical implications - The classification scheme can be used as a strategic checklist to include AE intensities of individual actors (e.g. customers and employees), relationships between these actors and network connectedness, when further developing engagement measurement tools and benchmarks. Originality/value - This is the first study providing a comprehensive understanding of AE intensity from an individual, dyadic and network perspective.
引用
收藏
页码:631 / 656
页数:26
相关论文
共 50 条
  • [41] A two-actor model for understanding user engagement with content creators: Applying social capital theory
    Hussain, Khalid
    Nusair, Khaldoon
    Junaid, Muhammad
    Aman, Waqas
    COMPUTERS IN HUMAN BEHAVIOR, 2024, 156
  • [42] Watching intensity and media franchise engagement
    Ameri, Mina
    Honka, Elisabeth
    Xie, Ying
    QME-QUANTITATIVE MARKETING AND ECONOMICS, 2024, 22 (03): : 291 - 356
  • [43] Towards becoming a service-dominant enterprise: an actor engagement perspective
    Chou, Hsin-Hui
    Huang, Chao-Chin
    Tu, Pei-Yun
    SERVICE BUSINESS, 2023, 17 (02) : 607 - 632
  • [44] Pushing Forward the Transition to a Circular Economy by Adopting an Actor Engagement Lens
    Verleye, Katrien
    De Keyser, Arne
    Raassens, Neomie
    Alblas, Alex A.
    Lit, Fernando C.
    Huijben, Josephina C. C. M.
    JOURNAL OF SERVICE RESEARCH, 2024, 27 (01) : 69 - 88
  • [45] Towards becoming a service-dominant enterprise: an actor engagement perspective
    Hsin-Hui Chou
    Chao-Chin Huang
    Pei-Yun Tu
    Service Business, 2023, 17 : 607 - 632
  • [46] Taking Engagement to Task: The Nature and Functioning of Task Engagement Across Transitions
    Newton, Daniel W.
    LePine, Jeffery A.
    Kim, Ji Koung
    Wellman, Ned
    Bush, John T.
    JOURNAL OF APPLIED PSYCHOLOGY, 2020, 105 (01) : 1 - 18
  • [47] Astronomy Classification: Towards a Faceted Classification Scheme
    Quinlan, Emma
    Rafferty, Pauline
    KNOWLEDGE ORGANIZATION, 2019, 46 (04): : 260 - 278
  • [48] A fast classification scheme for VQ
    Yen, CC
    Chang, Y
    Jeng, H
    APPLICATIONS OF DIGITAL IMAGE PROCESSING XXV, 2002, 4790 : 298 - 301
  • [49] Boosted Voting Scheme on Classification
    Chen, Chien-Hsing
    Hsu, Chung-Chian
    ISDA 2008: EIGHTH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS, VOL 2, PROCEEDINGS, 2008, : 573 - 577
  • [50] A classification scheme for software modules
    Shock, RC
    Hartrum, TC
    JOURNAL OF SYSTEMS AND SOFTWARE, 1998, 42 (01) : 29 - 44