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Abstrak :
Penggunaan teknologi selama pandemik COVID-19 berpotensi mengakibatkan stres pada karyawan. Stres ini dapat memengaruhi kepuasan kerja mereka. Penelitian ini akan melihat hubungan antara technostress creators dan technostress inhibitors pada kepuasan kerja karyawan. Berdasarkan teori Job Demand-Resources, peneliti berasumsi bahwa teknostres dapat menjadi tuntutan dan sumber daya bagi karyawan. Technostress inhibitors merupakan sumber daya yang dapat meningkatkan kepuasan kerja, sedangkan kepuasan kerja tersebut menurun karena adanya tuntutan dari technostress creators. Oleh karena itu, peran technostress inhibitors sangat penting untuk tetap menjaga tingkat kepuasan kerja karyawan. Partisipan pada penelitian ini berjumlah 255 karyawan dengan rentang usia 20-64 tahun yang sehari-hari menggunakan teknologi untuk bekerja. Penelitian ini merupakan penelitian cross sectional dengan teknik non-probability sampling untuk pemilihan partisipan. Alat ukur yang digunakan adalah Technostress Scale (Ragu-Nathan et al., 2008) dan Global Job Satisfaction dari Hackman & Oldham (1980) yang diadaptasi oleh Luthans (2006). Seluruh alat ukur telah di translasi ke Bahasa Indonesia dan memiliki konsistensi internal yang baik (kepuasan kerja; α dan ω = 0,80, technostress inhibitors; α dan ω = 0,81, technostress creator; α = 0,73 dan ω = 0,67). Pengumpulan data dilakukan secara daring menggunakan software SurveyMonkey. Korelasi Pearson menunjukkan bahwa hubungan technostress creators dan kepuasan kerja tidak signifikan (r = 0,02, p = 0,35), namun terdapat korelasi positif signifikan antara technostress inhibitors dengan kepuasan kerja (r = 0,26, p = 0,00). Effect size menunjukkan koefisien sebesar 0,07, sehingga dapat disimpulkan bahwa varians kepuasan kerja dapat dijelaskan oleh technostress inhibitors dan technostress creator. Technostress inhibitors terbukti memengaruhi kepuasan kerja karyawan secara positif. Hasil penelitian dapat dijadikan acuan bagi penelitian selanjutnya dan menjadi catatan bagi perusahaan untuk mendukung karyawan agar mampu beradaptasi dengan adanya kemajuan teknologi saat ini. ......Current usage of technologies during the COVID-19 pandemic may potentially cause employees’ stress. The stress then may influence their job satisfaction. This study investigated the relationship between technostress creators and technostress inhibitors on employees’ job satisfaction. Based on the Job Demands-Resources theory, we suggested that technostress can become both demands and resources for employees. Technostress inhibitors are a resource that can increase job satisfaction. However, job satisfaction decrease due to demands from technostress creators. Therefore, the role of technostress inhibitors is very important to maintain the level of job satisfaction among employees. Participants in this study were 255 employees aged 20-64 years who technologies for work in daily basis. This study is a cross-sectional study design with a non-probability sampling technique for participant selection. The measurements used were the Technostress Scale Ragu-Nathan et al. 2008) and Global Job Satisfaction (Hackman & Oldham, 1980 - adapted by Luthans (2006). All measurements were translated into Bahasa Indonesia and reliable (job satisfaction; α and ω = 0,80, technostress inhibitors; α and ω = 0,81, technostress creator; α = 0,73 and ω = 0,67). Data collection was collected online using SurveyMonkey software. Pearson's correlation showed that the relationship between technostress creators and job satisfaction was not significant (r = 0.02, p = 0.35). However, a significant positive correlation evidenced between technostress inhibitors and job satisfaction (r = 0.26, p = 0, 00). The effect size showed a coefficient of 0.07. It can be concluded that the variance of job satisfaction can be explained by both technostress inhibitors and technostress creators. Technostress inhibitors have been shown positively affect employee job satisfaction. This finding then can be used as a reference for further research particularly to provide a suggestion for the organisation to support employees to adapt with current technologies.

Abstrak :
ABSTRAK
Organisasi memerlukan karyawan yang memiliki engagement terhadap organisasinya. Salah satunya dengan melihat peran karier untuk menumbuhkan engagement karyawan. Oleh sebab itu, diperlukan studi yang dapat menjelaskan keterkaitan antar variabel dan menguji intervensi yang dapat dilakukan berdasarkan hasil studi tersebut. Penelitian ini terdiri dari dua studi, studi satu bertujuan untuk meneliti pengaruh proactive career behavior pada work engagement. Dalam penelitian ini, digunakan UWES-9 untuk mengukur work engagement dan Proactive Career Behavior Items untuk mengukur proactive career behavior. Data dari 27 responden diolah menggunakan uji regresi, menunjukkan hasil bahwa proactive career behavior memprediksi work engagement (F (1,70) = 13.85, p < .05, R2 = .17). Berdasarkan hasil penelitian tersebut, peneliti melakukan studi dua menggunakan desain before after dengan menyusun intervensi yang dinamakan My Success Story Program. My Success Story Program diberikan melalui workshop dan coaching yang bertujuan untuk meningkatkan proactive career behavior, yang diharapkan dapat meningkatkan work engagement. Program intervensi diberikan pada 11 partisipan yang memiliki skor variabel rendah. Hasil evaluasi pembelajaran menunjukkan terdapat perbedaan yang signifikan (Z = -2.40, p < .05) dan terdapat perubahan evaluasi perilaku yang signifikan (Z = -2.94, p < .05). Hasil uji beda pre¬ dan post variabel menunjukkan bahwa terdapat peningkatan yang signifikan pada variabel proactive career behavior dan work engagement (p < .05). Oleh karena itu, My Success Story Program dapat meningkatkan proactive career behavior dan work engagement di PT X.

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ABSTRACT
Organizations need employees who engaged within organization. One of the ways is by looking at career roles to foster engagement. Therefore, it needed research that can explain the relationships between the two variables and examine intervention that can be done based on those results. This research consisted of two studies, study 1 aimed to examine the effect of proactive career behavior on work engagement. In this study, UWES-9 was used to measure work engagement and Proactive Career Behavior Items to measure proactive career behavior. Data from 27 respondents were processed using regression, showing that proactive career behavior predicted work engagement (F (1.70) = 13.85, p <.05, R2 = .17). Based on that, researchers conducted a study 2, using before after design to developing an intervention called My Success Story Program. My Success Story Program is provided through workshops and coaching session that aim to increase proactive career behavior and work engagement. The intervention was given to 11 participants who had low variable scores. The results of the learning evaluation showed a significant difference (Z = -2.40, p <.05) and there was a significant change in behavior evaluation (Z = -2.94, p <.05). The results of the pre and post variable difference showed that there was a significant increase in proactive career behavior and work engagement (p <.05). Therefore, My Success Story Program succeeded to increasing proactive career behavior and work engagement at PT X.