The Utilization of Mobile Phones in Health Information Seeking in Rural China
-
Yao Zhang
, Xiaoming Li
Abstract
This study aims to investigate the mobile phone utilization for health information seeking among adults who are 45 years or older in rural areas in China. Using Andersen’s Behavioral Model (BM), we examine the factors that influence the target group’s behaviors of online health information seeking and contacting healthcare providers via mobile phones. By using stratified sampling method, we conducted a survey among 607 rural adults who were 45 years or older from six villages in Jiangsu Province, China. The results reveal that participants can be excluded from such services for not using a smartphone. eHealth information literacy could serve as a strong influential factor for online health information seeking and contacting healthcare providers via mobile phones. Participants with lower emotional wellbeing are more inclined to seek health information online via mobile phones. The results indicate variables such as utilization of technological devices and eHealth literacy should be included in Andersen’s model when investigating the utilization of mHealth services. This study contributes to the literature on mHealth adoption in rural areas in China and has implications for practitioners to tailor the mHealth service for socio-economically disadvantaged groups.
References
Aday, L. A. 1994. “Health Status of Vulnerable Populations.” Annual Review of Public Health 15 (1): 487–509, https://doi.org/10.1146/annurev.pu.15.050194.002415.Suche in Google Scholar
Alkhawaldeh, A., M. B. Holm, J. Qaddumi, W. Petro, M. Jaghbir, and O. Al Omari. 2014. “A Cross-Sectional Study to Examine Factors Associated with Primary Health Care Service Utilization among Older Adults in the Irbid Governorate of Jordan.” Current Gerontology and Geriatrics Research 2014: 735235, https://doi.org/10.1155/2014/735235.Suche in Google Scholar
Andersen, R. M. 1968. A Behavioral Model of Families’ Use of Health Services. (Research Series No. 25), Chicago: Center for Health Administration Studies, University of Chicago.Suche in Google Scholar
Andersen, R. M. 1995. “Revisiting the Behavioral Model and Access to Medical Care: Does it Matter?” Journal of Health and Social Behavior 36 (1): 1–10, https://doi.org/10.2307/2137284.Suche in Google Scholar
Andersen, R. M. 2008. “National Health Surveys and the Behavioral Model of Health Services Use.” Medical Care 46 (7): 647–53, http://www.jstor.org/stable/40221718.10.1097/MLR.0b013e31817a835dSuche in Google Scholar
Andersen, R. M., P. Davidson, R. M. Andersen, T. H. Rice, and G. F. Kominski. 2001. “A Behavioral Model of Health Services Use Including Contextual and Individual Characteristics.” In Changing the US Health Care System: Key Issues in Health Services, Policy, and Management, edited by Gerald F. Kominski, 5. San Francisco: Jossey-Bass.Suche in Google Scholar
Andersen, R., and J. F. Newman. 1973. “Societal and Individual Determinants of Medical Care Utilization in the United States.” Milbank Quarterly 51 (1): 95–124, https://doi.org/10.1111/j.1468-0009.2005.00428.x.Suche in Google Scholar
Arcury, T. A., J. C. Sandberg, K. P. Melius, S. A. Quandt, X. Leng, C. Latulipe, D. P. MillerJr, D. A. Smith, and A. G. Bertoni. 2020. “Older Adult Internet Use and eHealth Literacy.” Journal of Applied Gerontology: The Official Journal of the Southern Gerontological Society 39 (2): 141–50, https://doi.org/10.1177/0733464818807468.Suche in Google Scholar
Berrouiguet, S., E. Baca-García, S. Brandt, M. Walter, and P. Courtet. 2016. “Fundamentals for Future Mobile-Health (mHealth): A Systematic Review of Mobile Phone and Web-Based Text Messaging in Mental Health.” Journal of Medical Internet Research 18 (6): e135, https://doi.org/10.2196/jmir.5066.Suche in Google Scholar
Blank, G., M. Graham, and C. Calvino. 2018. “Local Geographies of Digital Inequality.” Social Science Computer Review 36 (1): 82–102, https://doi.org/10.1177/0894439317693332.Suche in Google Scholar
Bradley, E. H., S. A. McGraw, L. Curry, A. Buckser, K. L. King, S. V. Kasl, and R. Andersen 2002. “Expanding the Andersen Model: The Role of Psychosocial Factors in Long‐term Care Use.” Health Services Research 37 (5): 1221–42, https://doi.org/10.1111/1475-6773.01053.Suche in Google Scholar
Büchi, M., N. Just, and M. Latzer. 2016. “Modeling the Second-level Digital Divide: A Five-country Study of Social Differences in Internet Use.” New Media and Society 18 (11): 2703–22, https://doi.org/10.1177/1461444815604154.Suche in Google Scholar
Cajita, M. I., N. A. Hodgson, K. W. Lam, S. Yoo, and H. R. Han. 2018. “Facilitators of and Barriers to mHealth Adoption in Older Adults with Heart Failure.” Computers, Informatics, Nursing: CIN 36 (8): 376–82, https://doi.org/10.1097/CIN.0000000000000442.Suche in Google Scholar
Chang, F. C., C. H. Chiu, P. H. Chen, N. F. Miao, C. M. Lee, J. T. Chiang, and Y. C. Pan. 2015. “Relationship Between Parental and Adolescent eHealth Literacy and Online Health Information Seeking in Taiwan.” Cyberpsychology, Behavior and Social Networking 18 (10): 618–24, https://doi.org/10.1089/cyber.2015.0110.Suche in Google Scholar
Chang, Y.W., P. Y. Hsu, Y. Wang, and P. Y. Chang. 2019. “Integration of Online and Offline Health Services: The Role of Doctor-patient Online Interaction.” Patient Education and Counseling 102 (10): 1905–10, https://doi.org/10.1016/j.pec.2019.04.018.Suche in Google Scholar
Chen, H., I. Chi, and R. Liu. 2019. “Hospital Utilization Among Chinese Older Adults: Patterns and Predictors.” Journal of Aging and Health 31 (8): 1454–78, https://doi.org/10.1177/0898264318780546.Suche in Google Scholar
CNNIC. 2021. The 47th China Statistical Report on Internet Development. http://cnnic.cn/hlwfzyj/hlwxzbg/hlwtjbg/202102/P020210203334633480104.pdf (accessed February 28, 2022).Suche in Google Scholar
Cotingting, C.T., Z. H. L. Apal, M. B. M. Franco, P. N. M. G. Lozano, E. M. C. Quion, C. S. Tang, and J. J. J. Cabigon. 2019. “Examining Determinants of Health Service Utilisation among Filipino Older People: A Cross‐sectional Study.” Australasian Journal of Ageing 38: e31–6, https://doi.org/10.1111/ajag.12599.Suche in Google Scholar
Demiris, G., H. J. Thompson, B. Reeder, K. Wilamowska, and O. Zaslavsky. 2013. “Using Informatics to Capture Older Adults’ Wellness.” International Journal of Medical Informatics 82 (11): e232–41, https://doi.org/10.1016/j.ijmedinf.2011.03.004.Suche in Google Scholar
Deng, Z., X. Mo, and S. Liu. 2014. “Comparison of the Middle-aged and Older Users’ Adoption of Mobile Health Services in China.” International Journal of Medical Informatics 83 (3): 210–24, https://doi.org/10.1016/j.ijmedinf.2013.12.002.Suche in Google Scholar
Fortin, M., Z. Cao, and M. J. Fleury. 2018. “A Typology of Satisfaction with Mental Health Services Based on Andersen’s Behavioral Model.” Social Psychiatry and Psychiatric Epidemiology 53 (6): 587–95, https://doi.org/10.1007/s00127-018-1498-x.Suche in Google Scholar
Free, C., G. Phillips, L. Felix, L. Galli, V. Patel, and P. Edwards. 2010. “The Effectiveness of M-health Technologies for Improving Health and Health Services: A Systematic Review Protocol.” BioMed Central Research Notes 3: 250, https://doi.org/10.1186/1756-0500-3-250.Suche in Google Scholar
Friemel, T. N. 2016. “The Digital Divide Has Grown Old: Determinants of a Digital Divide Among Seniors.” New Media and Society 18 (2): 313–31, https://doi.org/10.1177/1461444814538648.Suche in Google Scholar
Gelberg, L., R. M. Andersen, and B. D. Leake. 2000. “The Behavioral Model for Vulnerable Populations: Application to Medical Care Use and Outcomes for Homeless People.” Health Services Research 34 (6): 1273. PMCID: PMC1089079.Suche in Google Scholar
Gorber, C. S., S. Schofield-Hurwitz, J. Hardt, G. Levasseur, and M. Tremblay. 2009. “The Accuracy of Self-reported Smoking: A Systematic Review of the Relationship between Self-reported and Cotinine-assessed Smoking Status.” Nicotine and Tobacco Research: Official Journal of the Society for Research on Nicotine and Tobacco 11 (1): 12–24, https://doi.org/10.1093/ntr/ntn010.Suche in Google Scholar
Guo, X., Y. Sun, N. Wang, Z. Peng, and Z. Yan. 2013. “The Dark Side of Elderly Acceptance of Preventive Mobile Health Services in China.” Electronic Markets 23 (1): 49–61, https://doi.org/10.1007/s12525-012-0112-4.Suche in Google Scholar
Ha, M., and D. Ji. 2013. “Mobile Health - for Individualized Service.” Programmer 5: 28–30.Suche in Google Scholar
Hajek, A., C. Brettschneider, M. Eisele, H. Kaduszkiewicz, S. Mamone, B. Wiese, and H. König. 2020. “Correlates of Hospitalization Among the Oldest Old: Results of the AgeCoDe–AgeQualiDe Prospective Cohort Study.” Aging Clinical and Experimental Research 32: 1295–301, https://doi.org/10.1007/s40520-019-01315-2.Suche in Google Scholar
Halwas, N., L. Griebel, and J. Huebner. 2017. “eHealth Literacy, Internet and eHealth Service Usage: A Survey Among Cancer Patients and Their Relatives.” Journal of Cancer Research and Clinical Oncology 143 (11): 2291–9, https://doi.org/10.1007/s00432-017-2475-6.Suche in Google Scholar
Hohls, J. K., B. Wild, D. Heider, H. Brenner, F. Böhlen, K. U. Saum, B. Schöttker, H. Matschinger, W. E. Haefeli, H. H. König, and A. Hajek. 2019. “Association of Generalized Anxiety Symptoms and Panic with Health Care Costs in Older Age-Results from the ESTHER Cohort Study.” Journal of Affective Disorders 245: 978–86, https://doi.org/10.1016/j.jad.2018.11.087.Suche in Google Scholar
Hong, Y. A., Z. Zhou, Y. Fang, and L. Shi. 2017. “The Digital Divide and Health Disparities in China: Evidence from a National Survey and Policy Implications.” Journal of Medical Internet Research 19 (9): e317, https://doi.org/10.2196/jmir.7786.Suche in Google Scholar
Hu, L., X. Lv, S. Zhou, X. Yu, and H. Wang. 2015. “Socio-Demographic Determinants, Physical Health Status, and Depression Associated with Functional Limitations Among Older Chinese Adults.” Ageing International 40: 311–26, https://doi.org/10.1007/s12126-015-9221-7.Suche in Google Scholar
Hung, L. Y., J. G. Lyons, and C. H. Wu. 2020. “Health Information Technology Use Among Older Adults in the United States, 2009–2018.” Current Medical Research and Opinion 36 (5): 789–97, https://doi.org/10.1080/03007995.2020.1734782.Suche in Google Scholar
Iecovich, E., and S. Carmel. 2011. “Differences between Users and Nonusers of Day Care Centers Among Frail Older Persons in Israel.” Journal of Applied Gerontology 29 (4): 443–62, https://doi.org/10.1177/0733464810372771.Suche in Google Scholar
Jiang, M., G. Yang, L. Fang, J. Wan, Y. Yang, and Y. Wang. 2018. “Factors Associated with Healthcare Utilization Among Community-dwelling Elderly in Shanghai, China.” PloS One 13 (12): e0207646, https://doi.org/10.1371/journal.pone.0207646.Suche in Google Scholar
Jiang, X., R. Varma, M. Torres, C. Hsu, and R. McKean-Cowdin. 2017. “Self-Reported Use of Eye Care Among Adult Chinese Americans: the Chinese American Eye Study.” American Journal of Ophthalmology: The International Journal of Ophthalmology 176: 183–93, https://doi.org/10.1016/j.ajo.2017.01.018.Suche in Google Scholar
Knitza, J., D. Simon, A. Lambrecht, C. Raab, K. Tascilar, M. Hagen, A. Kleyer, S. Bayat, A. Derungs, O. Amft, G. Schett, and A. J. Hueber. 2020. “Mobile Health Usage, Preferences, Barriers, and eHealth Literacy in Rheumatology: Patient Survey Study.” Journal of Medical Internet Research mHealth and uHealth 8 (8): e19661, https://doi.org/10.2196/19661.Suche in Google Scholar
Li, H., T. Zhang, H. Chi, Y. Chen, Y. Li, and J. Wang. 2014. “Mobile Health in China: Current Status and Future Development.” Asian Journal of Psychiatry 10: 101–4, https://doi.org/10.1016/j.ajp.2014.06.003.Suche in Google Scholar
Li, Y. N., D. X. Nong, B. Wei, Q. M. Feng, and H. Y. Luo. 2016. “The Impact of Predisposing, Enabling, and Need Factors in Utilization of Health Services Among Rural Residents in Guangxi, China.” BioMed Central Health Services Research 16 (1): 592, https://doi.org/10.1186/s12913-016-1825-4.Suche in Google Scholar
Lin, Z., Y. Zhang, M. Matteson, X. Li, X. Tu, Y. Zhou, and J. Wang. 2020. “Older Adults’ eHealth Literacy and the Role Libraries Can Play.” Journal of Librarianship and Information Science 53 (3): 488–98, https://doi.org/10.1177/0961000620962847.Suche in Google Scholar
Liu, D., H. Meng, D. Dobbs, K. O. Conner, K. Hyer, N. Li, X. Ren, and B. Gao. 2017. “Cross-sectional Study of Factors Associated with Community Health Centre Use in a Recently Urbanised Community in Chengdu, China.” British Medical Journal Open 7 (6): e014510, https://doi.org/10.1136/bmjopen-2016-014510.Suche in Google Scholar
Liu, Y., C. Ren, D. Shi, K. Li, and X. Zhang. 2020. “Evaluating the Social Value of Online Health Information for Third-party Patients: Is Uncertainty Always Bad?” Information Processing and Management 57 (5): 102259, https://doi.org/10.1016/j.ipm.2020.102259.Suche in Google Scholar
Lv, Q., Y. Jiang, J. Qi, Y. Zhang, X. Zhang, L. Fang, L. Tu, M. Yang, Z. Liao, M. Zhao, X. Guo, M. Qiu, J. Gu, and Z. Lin. 2019. “Using Mobile Apps for Health Management: A New Health Care Mode in China.” Journal of Medical Internet Research mHealth and uHealth 7 (6): e10299, https://doi.org/10.2196/10299.Suche in Google Scholar
Ma, Q., A. H. S Chan, and K. Chen. 2016. “Personal and Other Factors Affecting Acceptance of Smartphone Technology by Older Chinese Adults.” Applied Ergonomics 54: 62–71, https://doi.org/10.1016/j.apergo.2015.11.015.Suche in Google Scholar
Ni, Z., B. Wu, C. Samples, and R. J. Shaw. 2014. “Mobile Technology for Health Care in Rural China.” International Journal of Nursing Sciences 1 (3): 323–4, https://doi.org/10.1016/j.ijnss.2014.07.003.Suche in Google Scholar
Nie, L., B. Xie, Y. Yang, and Y. M. Shan. 2016. “Characteristics of Chinese m-Health Applications for Diabetes Self-Management.” Telemedicine Journal and E-Health 22 (7): 614–9, https://doi.org/10.1089/tmj.2015.0184.Suche in Google Scholar
Norman, C. D., and H. A. Skinner. 2006. “eHealth Literacy: Essential Skills for Consumer Health in a Networked World.” Journal of Medical Internet Research 8 (2): e9, https://doi.org/10.2196/jmir.8.2.e9.Suche in Google Scholar
Norris, P. 2001. Digital divide: Civic engagement, information poverty, and the Internet worldwide. Cambridge: Cambridge University Press.10.1017/CBO9781139164887Suche in Google Scholar
Nowlis, S. M., B. E. Kahn, and R. Dhar. 2002. “Coping with Ambivalence: The Effect of Removing a Neutral Option on Consumer Attitude and Preference Judgments.” Journal of Consumer Research 29: 319–34, https://doi.org/10.1086/344431.Suche in Google Scholar
Oser, C. B., A. M. Bunting, E. Pullen, and D. Stevens-Watkins. 2016. “African American Female Offender’s Use of Alternative and Traditional Health Services After Re-entry: Examining the Behavioral Model for Vulnerable Populations.” Journal of Health Care for the Poor and Underserved 27 (2A): 120, https://doi.org/10.1353/hpu.2016.0052.Suche in Google Scholar
Paige, S. R., M. Stellefson, J. L. Krieger, C. Anderson-Lewis, J. Cheong, and C. Stopka. 2018. “Proposing a Transactional Model of eHealth Literacy: Concept Analysis.” Journal of Medical Internet Research 20 (10): e10175, https://doi.org/10.2196/10175.Suche in Google Scholar
Park, H., M. Moon, and J. H. Baeg. 2014. “Association of eHealth Literacy with Cancer Information Seeking and Prior Experience with Cancer Screening.” Computers, Informatics, Nursing: CIN 32 (9): 458–63, https://doi.org/10.1097/CIN.0000000000000077.Suche in Google Scholar
Peng, C., J. A. Burr, K. Kim, and N. Lu. 2020. “Home and Community-based Service Utilization Among Older Adults in Urban China: The Role of Social Capital.” Journal of Gerontological Social Work 63 (8): 790–806, https://doi.org/10.1080/01634372.2020.1787574.Suche in Google Scholar
Pick, J. B., A. Sarkar, and J. Johnson. 2015. “United States Digital Divide: State Level Analysis of Spatial Clustering and Multivariate Determinants of ICT Utilization.” Socio-Economic Planning Sciences 49: 16–32, https://doi.org/10.1016/j.seps.2014.09.001.Suche in Google Scholar
Pilar, M. R., R. M. Cunningham-Williams, and S. L. L. Williams Woodson. 2019. “Does the Andersen Behavioral Model of Health Services Use Predict College Students’ Use of On-campus Mental Health Services?” Journal of American College Health 68 (6): 1–13, https://doi.org/10.1080/07448481.2019.1583665.Suche in Google Scholar
Song, Z., T. Song, Y. Yang, and Z. Wang. 2019. “Spatial–Temporal Characteristics and Determinants of Digital Divide in China: A Multivariate Spatial Analysis.” Sustainability 11 (17): 4529, https://www.mdpi.com/2071-1050/11/17/4529/htm.10.3390/su11174529Suche in Google Scholar
Stein, J. A., R. Andersen, and L. Gelberg. 2007. “Applying the Gelberg-Andersen Behavioral Model for Vulnerable Populations to Health Services Utilization in Homeless Women.” Journal of Health Psychology 12 (5): 791–804, https://doi.org/10.1177/1359105307080612.Suche in Google Scholar
Steinbeisser, K., E. Grill, R. Holle, A. Peters, and H. Seidl. 2018. “Determinants for Utilization and Transitions of Long-term Care in Adults 65+ in Germany: Results from the Longitudinal Kora-age Study.” BioMed Central Geriatrics 18 (1): 172, https://doi.org/10.1186/s12877-018-0860-x.Suche in Google Scholar
Taylor, J. K., I. E. Buchan, and S. N. van der Veer. 2018. “Assessing Life-space Mobility for a More Holistic View on Wellbeing in Geriatric Research and Clinical Practice.” Aging Clinical and Experimental Research 31 (4): 1–7, https://doi.org/10.1007/s40520-018-0999-5.Suche in Google Scholar
Tennant, B., M. Stellefson, V. Dodd, B. Chaney, D. Chaney, S. Paige, and J. Alber. 2015. “eHealth Literacy and Web 2.0 Health Information Seeking Behaviors among Baby Boomers and Older Adults.” Journal of Medical Internet Research 17 (3): e70, https://doi.org/10.2196/jmir.3992.Suche in Google Scholar
Travers, J. L., K. B. Hirschman, and M. D. Naylor. 2020. “Adapting Andersen’s Expanded Behavioral Model of Health Services Use to Include Older Adults Receiving Long-term Services and Supports.” BioMed Central Geriatrics 20: 58, https://doi.org/10.1186/s12877-019-1405-7.Suche in Google Scholar
Van Deursen, A. J., and E. J. Helsper. 2015. “The Third-Level Digital Divide: Who Benefits Most from Being Online?” In Communication and Information Technologies Annual. Binley, West Yorkshire: Emerald Group Publishing Limited.10.1108/S2050-206020150000010002Suche in Google Scholar
Wang, X., and K. Zhao. 2014. “Social Support and User Engagement in Online Health Communities.” Proceedings - Pacific Asia Conference on Information Systems, PACIS 2014, https://doi.org/10.1007/978-3-319-08416-9_10.Suche in Google Scholar
WareJrJ. E., and C. D. Sherbourne. 1992. “The MOS 36-item Short-form Health Survey (SF-36): I. Conceptual Framework and Item Selection.” Medical Care 30 (6): 473–83.10.1097/00005650-199206000-00002Suche in Google Scholar
Wildenbos, G. A., L. Peute, and M. Jaspers. 2018. “Aging Barriers Influencing Mobile Health Usability for Older Adults: A Literature Based Framework (MOLD-US).” International Journal of Medical Information 114: 66–75, https://doi.org/10.1016/j.ijmedinf.2018.03.012.Suche in Google Scholar
Xu, X., X. M. Li, D. Xu, and W. Wang. 2017. “Psychiatric and Mental Health Nursing in China: Past, Present and Future.” Archives of Psychiatric Nursing 31 (5): 470–6, https://doi.org/10.1016/j.apnu.2017.06.009.Suche in Google Scholar
Yang, X., and C. L. Kovarik. 2021. “A Systematic Review of Mobile Health Interventions in China: Identifying Gaps in Care.” Journal of Telemedicine and Telecare 27 (1): 3–22, https://doi.org/10.1177/1357633X19856746.Suche in Google Scholar
Yang, H., A. Hagedorn, H. Zhu, and H. Chen. 2020. “Mental Health and Well-being in Older Women in China: Implications from the Andersen Model.” BioMed Central Geriatrics 20 (1): 254, https://doi.org/10.1186/s12877-020-01639-z.Suche in Google Scholar
Yu, H. W., Y. K. Tu, P. H. Kuo, and Y. M. Chen. 2020. “Use of Home- and Community-Based Services in Taiwan’s National 10-Year Long-Term Care Plan.” Journal of Applied Gerontology: The Official Journal of the Southern Gerontological Society 39 (7): 722–30, https://doi.org/10.1177/0733464818774642.Suche in Google Scholar
Yunus, N. M., N. H. A. Manaf, A. Omar, N. Juhdi, and M. Salleh. 2017. “Determinants of Healthcare Utilisation among the Elderly in Malaysia.” Institutions and Economies 9 (3): 117–42.Suche in Google Scholar
Zhang, S., Q. Chen, and B. Zhang. 2019. “Understanding Healthcare Utilization in China Through the Andersen Behavioral Model: Review of Evidence from the China Health and Nutrition Survey.” Risk Management and Healthcare Policy 12: 209–224, https://doi.org/10.2147/RMHP.S218661.Suche in Google Scholar
Zhang, Y., Z. Lin, X. Li, X. Tu, Y. Zhou, and X. Zhou. 2019. “Factors Affecting ICT Use in Health Communication Among Elder Population in Jiangsu, China.” International Journal of Libraries and Information Studies 69 (2): 41–53, https://doi.org/10.1515/libri-2018-0103.Suche in Google Scholar
Zhao, Y., Q. Ni, and R. Zhou. 2018. “What Factors Influence the Mobile Health Service Adoption? A Meta-analysis and the Moderating Role of Age.” International Journal of Information Management 43: 342–50, https://doi.org/10.1016/j.ijinfomgt.2017.08.006.Suche in Google Scholar
Zhu, Z., Y. Liu, X. Che, and X. Chen. 2018. “Moderating Factors Influencing Adoption of a Mobile Chronic Disease Management System in China.” Informatics for Health and Social Care 43 (1): 22–41, https://doi.org/10.1080/17538157.2016.1255631.Suche in Google Scholar
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Artikel in diesem Heft
- Frontmatter
- The University Library’s Strategic Process: Competing Through Plans, Positions, and Resources
- Nurturing a Democratic Planning Process: A Qualitative Case of Every Student Succeeds Act Requests for School Library Funding
- Factors Affecting Dynamic Strategic Alignment in a Changing Environment: A Case Study of a Chinese SOE
- Assessing Freshmen Undergraduate Students’ Comprehension of Library Vocabularies in Library Orientation Sessions
- Why Soft Skills Matter: Analyzing the Relationship between Soft Skills and Productivity in Workplace of Academic Library Professionals
- The Contributions of Public Libraries to Satisfy Intellectual Curiosity of Rural Inhabitants in West Bengal: An Indian Case Study
- The Utilization of Mobile Phones in Health Information Seeking in Rural China
- Relationship between Human Capital, Innovation Capability and Employee Job Performance in Academic Libraries in Namibia, South Africa, and Zimbabwe
Artikel in diesem Heft
- Frontmatter
- The University Library’s Strategic Process: Competing Through Plans, Positions, and Resources
- Nurturing a Democratic Planning Process: A Qualitative Case of Every Student Succeeds Act Requests for School Library Funding
- Factors Affecting Dynamic Strategic Alignment in a Changing Environment: A Case Study of a Chinese SOE
- Assessing Freshmen Undergraduate Students’ Comprehension of Library Vocabularies in Library Orientation Sessions
- Why Soft Skills Matter: Analyzing the Relationship between Soft Skills and Productivity in Workplace of Academic Library Professionals
- The Contributions of Public Libraries to Satisfy Intellectual Curiosity of Rural Inhabitants in West Bengal: An Indian Case Study
- The Utilization of Mobile Phones in Health Information Seeking in Rural China
- Relationship between Human Capital, Innovation Capability and Employee Job Performance in Academic Libraries in Namibia, South Africa, and Zimbabwe