Career advice

Practical guides for a Hong Kong career

Curated writing from operators, recruiters, and HR leaders — written for people building real careers in HK.

← Career advice

Search result for "pa"

【發財立品】「公仔次文化」熱與ESG的拉鋸
Advice Columnist

【發財立品】「公仔次文化」熱與ESG的拉鋸

近年,品牌公仔(涵蓋IP授權及原創角色)熱潮席捲亞洲,零售、餐飲、商場及小型店舖紛紛推出自家「吉祥物」宣傳。這股文化深受IP授權商業及社群經濟影響,更因夾公仔機熱興起,推升「公仔次文化」。掛公仔於手袋或背囊的潮流,源自2000年代初日本的「痛袋」文化(包包掛滿動漫周邊),起於同人誌展,隨社交媒體普及而全球風靡。 夾公仔機浪潮:推高次文化熱潮從日本、台灣起,近年在中國內地、香港以至整個東南亞迅速擴散。疫情之後,香港市區與商場內的夾公仔機店急增,無論傳統百貨還是舊街舖面,只要有閒置空間,都可能轉型為夾公仔機場。 根據2023年市場調查數據統計,內地夾公仔機市場收入高達300億元人民幣,年增長率逾20%,逾百萬部機器遍布公眾場所、商場。部分年份,部分城市機店收益比傳統零售或小型餐飲更可觀,吸引大量投資者進駐搶佔市場。 短短幾年間,香港不少街道、商場都能見到不同規模的夾公仔機鋪,部分核心地帶一條街就有數間同類店,反映需求持續旺盛。年輕人視之為機會,在經濟低迷與「躺平」文化下,筆者親眼見到不少Gen Z在商場關門前收錢、補充公仔,成為低門檻的拼經濟途徑。 歐美市場正起步,大型商場、遊樂場及旅遊景點紛紛引入「日式」夾公仔機,特別是標榜動漫IP、靚設計的限量獎品,吸引年輕玩家及動漫粉絲搶玩。全球夾公仔機市場有望在未來幾年進一步擴大。據一間跨國市場研究公司的報告顯示,預計到 2030 年,全球夾娃娃機市場將達到 25 億美元,2024 年至 2030 年年複合成長率為 3.5%。 產品週期極短,浪費問題浮現比起傳統消費品,夾公仔機無人店模式更新更快,且低門檻大量生產,使得「用完即棄」現象更普遍。大部分機內公仔為壓低成本大量造,款式換得密,收藏熱潮一過,極容易變成閒置塑膠垃圾。 浪費以倍數計算:日本、內地夾公仔機一店內動輒擺放數百公仔,一線城市如香港繁忙商場可見數以千計公仔在短期內流轉,每年產生的廢棄物、未領取或丟棄的公仔數量無疑以倍數增長。 ESG壓力劇增這種潮流與近年無論企業或各地政府都大力推動的ESG(環境、社會、管治)要求背道而馳,消費者及媒體對過度生產、難回收垃圾問題愈來愈敏感,不少地區開始深思是否需要規管及減量。而夾公仔機的公仔IP授權真偽疑雲似80年代盜版VCD情況相似,經營者須警覺法律風險。 潮流文化未來脈絡與可持續新思維熱潮若然消退、租金上漲、審美疲勞加上ESG規範管治壓力,產業恐會突然急速下行。筆者建議經營者及品牌方考慮採用環保材料、推動再生設計;推出回收計劃或「夾公仔換回收積分」等等引導正視「公仔次文化」,融合潮流與ESG,方能永續發展。

我的金魚老闆 – 不停Loop 不停Loop 不停Loop
Advice Columnist

我的金魚老闆 – 不停Loop 不停Loop 不停Loop

我個老闆,記憶力簡直係金魚級數,甚至可能仲衰過金魚!每日返工見到佢,我都想爆粗。佢個腦係咪用嚟裝飾㗎? 基本上每日都要將啲嘢重覆又重覆,重覆又重覆咁解釋佢聽。就連公司嘅partner都怕咗佢。 今日開會,佢又嚟料。上個禮拜先講好個 Project A 嘅方向,今日佢竟然問:「Project A 係乜嚟㗎?」大佬,我哋為咗呢個 Project A 已經捱咗幾晚通宵,你一句「係乜嚟㗎」,又要花多半個鐘去解釋你聽。連續開咗三星期工,個人又眼瞓又燥底,我當時真係想攞個釘書機掟埋去! 仲有,佢最鍾意「一時一樣」。朝早話要咁做,晏晝就完全推翻晒,然後仲可以理直氣壯咁話:「我冇講過!」我真係想問佢係咪有失憶症?定係佢故意玩嘢?每次佢咁樣,我哋成Team人就每日跟佢嘅「新指示」重覆又重覆咁做,不停loop,不停loop。一個 proposal loop 足三個星期! 最令我火滾嘅係,佢永遠唔會記得自己做錯咗啲咩。每次出問題,佢總係將責任推到我哋身上,好似佢自己係完美無瑕咁。我哋做佢下屬嘅,除咗要做好自己份內事,仲要幫佢執手尾,幫佢遮醜,簡直係受罪! 講返今日個會,好明顯佢同平時一樣唔係聽緊我哋講嘢,因為佢問啲問題永遠係錯重點。Anyways,最終佢無咩問題,大家以為呢個 project 終於可以完鬆一口氣嘅時候,佢竟然問返再之前個 project 啲嘢。天呀,又要將個歷史由頭講一次佢聽。 我真係懷疑佢係咪每日食咗失憶藥定個腦會 reset 咗先返工。對住呢個金魚腦老闆,我每日返工都係一種煎熬。真係好想辭職,但我仲要供樓、養家,唯有日日對住佢個衰樣,咬緊牙關。唉,幾時先捱到退休啊?

How to Start Learning Ai for Beginners?
Advice Columnist

How to Start Learning Ai for Beginners?

Artificial Intelligence (AI) transforms every field in our lives, from technology to healthcare, making it one of the most sought-after skills today. As interest in learning AI grows, maybe you, as a beginner, often wonder: “How can I effectively learn AI?”

Data Science vs Data Engineering: What’s The Difference?
Advice Columnist

Data Science vs Data Engineering: What’s The Difference?

Data Science and Data Engineering are two key roles in the world of data-driven decision-making, each with its own unique functions. While they are often confused, understanding the differences between them is essential for fully leveraging the power of data.

Engineering a Better Tomorrow: Young Professionals Explore Sustainability and Innovation in Australia
Advice Columnist

Engineering a Better Tomorrow: Young Professionals Explore Sustainability and Innovation in Australia

In May 2025, a group of young engineering professionals from Hong Kong embarked on a purposeful journey to Australia, engaging in a week-long programme designed to inspire forward-thinking approaches to sustainability, innovation, and global collaboration. Organised by the Young Members Committee (YMC) of the Hong Kong Institution of Engineers (HKIE), the delegation offered participants a unique opportunity to explore how engineering can drive positive change across communities, industries, and borders.

How Does Machine Learning Work? Basics to Know
Advice Columnist

How Does Machine Learning Work? Basics to Know

In today’s digital age, machine learning drives many technological advancements, from personalized recommendations on streaming services to predictive analytics in finance and healthcare. But what exactly is machine learning, and how does machine learning work?

C-Suite Essential Skills for the AI Era (2025-2035)
Advice Columnist

C-Suite Essential Skills for the AI Era (2025-2035)

The landscape of global business is undergoing an unprecedented transformation, primarily driven by the pervasive advancements in Artificial Intelligence. For C-level executives navigating the period from 2025 to 2035, traditional leadership paradigms are no longer sufficient. Success in this AI-driven era will hinge on a dynamic blend of human-centric strengths, profound AI literacy, and a strategic mindset capable of orchestrating pervasive technological and cultural change.

AI: A Strategic Imperative and Competitive Differentiator for C-Level Leaders
Advice Columnist

AI: A Strategic Imperative and Competitive Differentiator for C-Level Leaders

In today’s dynamic business landscape, Artificial Intelligence (AI) has transcended its role as a mere technological advancement; it has become a fundamental strategic imperative and a potent tool for competitive differentiation. For C-level executives, understanding and leveraging AI is no longer optional but essential for long-term survival and growth. This article explores why AI is critical for shaping unique market positions, future-proofing organizations, and unlocking unprecedented opportunities for innovation and revenue generation.

Enhancing Operational Efficiency and Productivity with AI: A C-Level Perspective
Advice Columnist

Enhancing Operational Efficiency and Productivity with AI: A C-Level Perspective

For C-level executives, the promise of Artificial Intelligence often crystallizes around one core objective: to do more with less, faster and better. AI is not just about cutting-edge technology; it’s a powerful catalyst for significantly enhancing operational efficiency and boosting enterprise-wide productivity. By intelligently leveraging AI, organizations can unlock new levels of performance, optimize resource allocation, and gain a substantial competitive edge.

Talent Transformation and Human-AI Collaboration in the AI Era
Advice Columnist

Talent Transformation and Human-AI Collaboration in the AI Era

For C-level executives, the true impact of Artificial Intelligence (AI) extends far beyond technological implementation; it fundamentally reshapes the workforce and demands a profound transformation of talent. The focus shifts from merely adopting AI tools to strategically cultivating a culture where humans and AI collaborate seamlessly, augmenting each other’s strengths to drive unprecedented productivity and innovation.